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| { | |
| "id": "site_525907af91", | |
| "title": "$\\texttt{DoubleSqueeze}$: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression", | |
| "author": "Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4191" | |
| }, | |
| { | |
| "id": "site_4e48ae3a89", | |
| "title": "A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs", | |
| "author": "Jingkai Mao, Jakob Foerster, Tim Rockt\u00e4schel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3768" | |
| }, | |
| { | |
| "id": "site_b21d536507", | |
| "title": "A Better k-means++ Algorithm via Local Search", | |
| "author": "Silvio Lattanzi, Christian Sohler", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4015" | |
| }, | |
| { | |
| "id": "site_e6841f767b", | |
| "title": "A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation", | |
| "author": "Ramin Raziperchikolaei, Harish Bhat", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4187" | |
| }, | |
| { | |
| "id": "site_09db5fb486", | |
| "title": "A Composite Randomized Incremental Gradient Method", | |
| "author": "Junyu Zhang, Lin Xiao", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3875" | |
| }, | |
| { | |
| "id": "site_54ccc162f8", | |
| "title": "A Conditional-Gradient-Based Augmented Lagrangian Framework", | |
| "author": "Alp Yurtsever, Olivier Fercoq, Volkan Cevher", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4129" | |
| }, | |
| { | |
| "id": "site_8f1b1bc7ea", | |
| "title": "A Contrastive Divergence for Combining Variational Inference and MCMC", | |
| "author": "Francisco Ruiz, Michalis Titsias", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3854" | |
| }, | |
| { | |
| "id": "site_897b059545", | |
| "title": "A Convergence Theory for Deep Learning via Over-Parameterization", | |
| "author": "Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4040" | |
| }, | |
| { | |
| "id": "site_2a44a953b8", | |
| "title": "A Deep Reinforcement Learning Perspective on Internet Congestion Control", | |
| "author": "Nathan Jay, Noga H. Rotman, Brighten Godfrey, Michael Schapira, Aviv Tamar", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4028" | |
| }, | |
| { | |
| "id": "site_0d19fbb294", | |
| "title": "A Dynamical Systems Perspective on Nesterov Acceleration", | |
| "author": "Michael Muehlebach, Michael Jordan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3920" | |
| }, | |
| { | |
| "id": "site_9326b4464a", | |
| "title": "A Framework for Bayesian Optimization in Embedded Subspaces", | |
| "author": "Amin Nayebi, Alexander Munteanu, Matthias Poloczek", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4216" | |
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| { | |
| "id": "site_8022dbb761", | |
| "title": "A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization", | |
| "author": "Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4293" | |
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| { | |
| "id": "site_9dd0ff2b89", | |
| "title": "A Kernel Perspective for Regularizing Deep Neural Networks", | |
| "author": "Alberto Bietti, Gregoire Mialon, Dexiong Chen, Julien Mairal", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3832" | |
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| { | |
| "id": "site_64d6b1e2a0", | |
| "title": "A Kernel Theory of Modern Data Augmentation", | |
| "author": "Tri Dao, Albert Gu, Alexander J Ratner, Virginia Smith, Christopher De Sa, Christopher Re", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3611" | |
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| { | |
| "id": "site_5c80bb7615", | |
| "title": "A Large-Scale Study on Regularization and Normalization in GANs", | |
| "author": "Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4146" | |
| }, | |
| { | |
| "id": "site_3db6ed486f", | |
| "title": "A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology", | |
| "author": "Onur Dereli, Ceyda O\u011fuz, Mehmet G\u00f6nen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4219" | |
| }, | |
| { | |
| "id": "site_42e992e7b9", | |
| "title": "A Persistent Weisfeiler--Lehman Procedure for Graph Classification", | |
| "author": "Bastian Rieck, Christian Bock, Karsten Borgwardt", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3725" | |
| }, | |
| { | |
| "id": "site_053deb8761", | |
| "title": "A Personalized Affective Memory Model for Improving Emotion Recognition", | |
| "author": "Pablo Barros, German Parisi, Stefan Wermter", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3828" | |
| }, | |
| { | |
| "id": "site_19f7252bdf", | |
| "title": "A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes", | |
| "author": "Alireza Rezaei, Shayan Oveis Gharan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3982" | |
| }, | |
| { | |
| "id": "site_10faef303e", | |
| "title": "A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent", | |
| "author": "YongQiang Cai, Qianxiao Li, Zuowei Shen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3821" | |
| }, | |
| { | |
| "id": "site_aadfc3f0c2", | |
| "title": "A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion", | |
| "author": "Sylvain Lamprier", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3646" | |
| }, | |
| { | |
| "id": "site_466b08b510", | |
| "title": "A Statistical Investigation of Long Memory in Language and Music", | |
| "author": "Alexander Greaves-Tunnell, Zaid Harchaoui", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3937" | |
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| { | |
| "id": "site_2b85ee0b23", | |
| "title": "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks", | |
| "author": "Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3560" | |
| }, | |
| { | |
| "id": "site_f8e7af52e4", | |
| "title": "A Theoretical Analysis of Contrastive Unsupervised Representation Learning", | |
| "author": "Nikunj Umesh Saunshi, Orestis Plevrakis, Sanjeev Arora, Mikhail Khodak, Hrishikesh Khandeparkar", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4241" | |
| }, | |
| { | |
| "id": "site_f953b7b49b", | |
| "title": "A Theory of Regularized Markov Decision Processes", | |
| "author": "Matthieu Geist, Bruno Scherrer, Olivier Pietquin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4025" | |
| }, | |
| { | |
| "id": "site_1a1e7ce876", | |
| "title": "A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes", | |
| "author": "Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3607" | |
| }, | |
| { | |
| "id": "site_71a11bd214", | |
| "title": "A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning", | |
| "author": "Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3795" | |
| }, | |
| { | |
| "id": "site_4274370961", | |
| "title": "A fully differentiable beam search decoder", | |
| "author": "Ronan Collobert, Awni Hannun, Gabriel Synnaeve", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4328" | |
| }, | |
| { | |
| "id": "site_5e851e724a", | |
| "title": "ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables", | |
| "author": "Mingzhang Yin, Yuguang Yue, Mingyuan Zhou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4166" | |
| }, | |
| { | |
| "id": "site_41abc057a0", | |
| "title": "AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs", | |
| "author": "Gabriele Abbati, Philippe Wenk, Michael A Osborne, Andreas Krause, Bernhard Sch\u00f6lkopf, Stefan Bauer", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3857" | |
| }, | |
| { | |
| "id": "site_38450bb804", | |
| "title": "AUC\u00b5: A Performance Metric for Multi-Class Machine Learning Models", | |
| "author": "Ross Kleiman, University of Wisconsin David Page", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4252" | |
| }, | |
| { | |
| "id": "site_0d580d85cc", | |
| "title": "Accelerated Flow for Probability Distributions", | |
| "author": "Amirhossein Taghvaei, Prashant Mehta", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3689" | |
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| { | |
| "id": "site_483df5cbd3", | |
| "title": "Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances", | |
| "author": "Bugra Can, Mert Gurbuzbalaban, Lingjiong Zhu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4211" | |
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| { | |
| "id": "site_6c574a6001", | |
| "title": "Acceleration of SVRG and Katyusha X by Inexact Preconditioning", | |
| "author": "Yanli Liu, Fei Feng, Wotao Yin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4233" | |
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| { | |
| "id": "site_89e24a0608", | |
| "title": "Action Robust Reinforcement Learning and Applications in Continuous Control", | |
| "author": "Chen Tessler, Chen Tessler, Yonathan Efroni, Shie Mannor", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3585" | |
| }, | |
| { | |
| "id": "site_f4f4c10fe4", | |
| "title": "Active Embedding Search via Noisy Paired Comparisons", | |
| "author": "Gregory Canal, Andy Massimino, Mark Davenport, Christopher Rozell", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4212" | |
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| { | |
| "id": "site_e6f0e90d33", | |
| "title": "Active Learning for Decision-Making from Imbalanced Observational Data", | |
| "author": "Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4171" | |
| }, | |
| { | |
| "id": "site_a2c4b94002", | |
| "title": "Active Learning for Probabilistic Structured Prediction of Cuts and Matchings", | |
| "author": "Sima Behpour, Anqi Liu, Brian Ziebart", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3830" | |
| }, | |
| { | |
| "id": "site_33e116eb4f", | |
| "title": "Active Learning with Disagreement Graphs", | |
| "author": "Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4190" | |
| }, | |
| { | |
| "id": "site_614fa37dfa", | |
| "title": "Active Manifolds: A non-linear analogue to Active Subspaces", | |
| "author": "Robert Bridges, Anthony Gruber, Christopher Felder, Miki Verma, Chelsey Hoff", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4239" | |
| }, | |
| { | |
| "id": "site_a3c3812893", | |
| "title": "Actor-Attention-Critic for Multi-Agent Reinforcement Learning", | |
| "author": "Shariq Iqbal, Fei Sha", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4199" | |
| }, | |
| { | |
| "id": "site_a1713cb618", | |
| "title": "AdaGrad stepsizes: sharp convergence over nonconvex landscapes", | |
| "author": "Rachel Ward, Xiaoxia Wu, Leon Bottou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4063" | |
| }, | |
| { | |
| "id": "site_e296a46e7f", | |
| "title": "Adaptive Antithetic Sampling for Variance Reduction", | |
| "author": "Hongyu Ren, Shengjia Zhao, Stefano Ermon", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4125" | |
| }, | |
| { | |
| "id": "site_4bbc4f6df5", | |
| "title": "Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits", | |
| "author": "Martin Zhang, James Zou, David Tse", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3590" | |
| }, | |
| { | |
| "id": "site_4a841aa278", | |
| "title": "Adaptive Neural Trees", | |
| "author": "Ryutaro Tanno, Kai Arulkumaran, Daniel Alexander, Antonio Criminisi, Aditya Nori", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3645" | |
| }, | |
| { | |
| "id": "site_450d0067ee", | |
| "title": "Adaptive Regret of Convex and Smooth Functions", | |
| "author": "Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3815" | |
| }, | |
| { | |
| "id": "site_796bd5a8fe", | |
| "title": "Adaptive Scale-Invariant Online Algorithms for Learning Linear Models", | |
| "author": "Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4196" | |
| }, | |
| { | |
| "id": "site_e7f988afb1", | |
| "title": "Adaptive Sensor Placement for Continuous Spaces", | |
| "author": "James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David Leslie, Sattar Vakili, Enrique Munoz De Cote", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4082" | |
| }, | |
| { | |
| "id": "site_ad401e400d", | |
| "title": "Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search", | |
| "author": "Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3959" | |
| }, | |
| { | |
| "id": "site_07f257d660", | |
| "title": "Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces", | |
| "author": "Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4048" | |
| }, | |
| { | |
| "id": "site_e20632e8da", | |
| "title": "Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment", | |
| "author": "Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista Martin, Shih-Yu Sun, Carlos Guestrin, Joshua M Susskind", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3769" | |
| }, | |
| { | |
| "id": "site_f8295426f4", | |
| "title": "Adjustment Criteria for Generalizing Experimental Findings", | |
| "author": "Juan Correa, Jin Tian, Elias Bareinboim", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4283" | |
| }, | |
| { | |
| "id": "site_a7e3e83d25", | |
| "title": "Adversarial Attacks on Node Embeddings via Graph Poisoning", | |
| "author": "Aleksandar Bojchevski, Stephan G\u00fcnnemann", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4072" | |
| }, | |
| { | |
| "id": "site_723c164531", | |
| "title": "Adversarial Examples Are a Natural Consequence of Test Error in Noise", | |
| "author": "Justin Gilmer, Nicolas Ford, Nicholas Carlini, Ekin Dogus Cubuk", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3917" | |
| }, | |
| { | |
| "id": "site_e96ad393a4", | |
| "title": "Adversarial Generation of Time-Frequency Features with application in audio synthesis", | |
| "author": "Andr\u00e9s Marafioti, Nathana\u00ebl Perraudin, Nicki Holighaus, Piotr Majdak", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4016" | |
| }, | |
| { | |
| "id": "site_92d1480a06", | |
| "title": "Adversarial Online Learning with noise", | |
| "author": "Alon Resler, Yishay Mansour", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3633" | |
| }, | |
| { | |
| "id": "site_8691772ad5", | |
| "title": "Adversarial camera stickers: A physical camera-based attack on deep learning systems", | |
| "author": "Juncheng Li, Frank R Schmidt, Zico Kolter", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4262" | |
| }, | |
| { | |
| "id": "site_aa623485bf", | |
| "title": "Adversarial examples from computational constraints", | |
| "author": "Sebastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3956" | |
| }, | |
| { | |
| "id": "site_8fbee9587e", | |
| "title": "Adversarially Learned Representations for Information Obfuscation and Inference", | |
| "author": "Martin A Bertran, Natalia Martinez Gil, Afroditi Papadaki, Qiang Qiu, Miguel Rodrigues, Galen Reeves, Guillermo Sapiro", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4236" | |
| }, | |
| { | |
| "id": "site_98c04c81d3", | |
| "title": "Agnostic Federated Learning", | |
| "author": "Mehryar Mohri, Gary Sivek, Ananda Suresh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4100" | |
| }, | |
| { | |
| "id": "site_a34ef097aa", | |
| "title": "Almost Unsupervised Text to Speech and Automatic Speech Recognition", | |
| "author": "Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3849" | |
| }, | |
| { | |
| "id": "site_7f16a25dbe", | |
| "title": "Almost surely constrained convex optimization", | |
| "author": "Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4012" | |
| }, | |
| { | |
| "id": "site_5499567de8", | |
| "title": "Alternating Minimizations Converge to Second-Order Optimal Solutions", | |
| "author": "Qiuwei Li, Zhihui Zhu, Gongguo Tang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3745" | |
| }, | |
| { | |
| "id": "site_2188bbcdc5", | |
| "title": "Amortized Monte Carlo Integration", | |
| "author": "Adam Golinski, Frank Wood, Tom Rainforth", | |
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| "site": "https://icml.cc/virtual/2019/poster/3869" | |
| }, | |
| { | |
| "id": "site_2eaa695958", | |
| "title": "An Instability in Variational Inference for Topic Models", | |
| "author": "Behrooz Ghorbani, Hamidreza Hakim Javadi, Andrea Montanari", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3966" | |
| }, | |
| { | |
| "id": "site_4209b77ebc", | |
| "title": "An Investigation into Neural Net Optimization via Hessian Eigenvalue Density", | |
| "author": "Behrooz Ghorbani, Shankar Krishnan, Ying Xiao", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4303" | |
| }, | |
| { | |
| "id": "site_b798efef02", | |
| "title": "An Investigation of Model-Free Planning", | |
| "author": "Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sebastien Racaniere, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3809" | |
| }, | |
| { | |
| "id": "site_a8c509210e", | |
| "title": "An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule", | |
| "author": "Touqir Sajed, Or Sheffet", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4245" | |
| }, | |
| { | |
| "id": "site_cdd04ff9d6", | |
| "title": "Analogies Explained: Towards Understanding Word Embeddings", | |
| "author": "Carl Allen, Timothy Hospedales", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4051" | |
| }, | |
| { | |
| "id": "site_5874c58175", | |
| "title": "Analyzing Federated Learning through an Adversarial Lens", | |
| "author": "Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3853" | |
| }, | |
| { | |
| "id": "site_4d7982941f", | |
| "title": "Analyzing and Improving Representations with the Soft Nearest Neighbor Loss", | |
| "author": "Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4280" | |
| }, | |
| { | |
| "id": "site_598e6ca8f8", | |
| "title": "Anomaly Detection With Multiple-Hypotheses Predictions", | |
| "author": "Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3586" | |
| }, | |
| { | |
| "id": "site_0aa9d3099c", | |
| "title": "Anytime Online-to-Batch, Optimism and Acceleration", | |
| "author": "Ashok Cutkosky", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4147" | |
| }, | |
| { | |
| "id": "site_b9e0410efb", | |
| "title": "Approximated Oracle Filter Pruning for Destructive CNN Width Optimization", | |
| "author": "XIAOHAN DING, guiguang ding, Yuchen Guo, Jungong Han, Chenggang Yan", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3835" | |
| }, | |
| { | |
| "id": "site_91d5384950", | |
| "title": "Approximating Orthogonal Matrices with Effective Givens Factorization", | |
| "author": "Thomas Frerix, Joan Bruna", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3791" | |
| }, | |
| { | |
| "id": "site_e1882bda00", | |
| "title": "Approximation and non-parametric estimation of ResNet-type convolutional neural networks", | |
| "author": "Kenta Oono, Taiji Suzuki", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3724" | |
| }, | |
| { | |
| "id": "site_c1a4c1fab3", | |
| "title": "Are Generative Classifiers More Robust to Adversarial Attacks?", | |
| "author": "Yingzhen Li, John Bradshaw, Yash Sharma", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3897" | |
| }, | |
| { | |
| "id": "site_7ece6aa60d", | |
| "title": "Area Attention", | |
| "author": "Yang Li, Lukasz Kaiser, Samy Bengio, Si Si", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3744" | |
| }, | |
| { | |
| "id": "site_8ffc77a7bd", | |
| "title": "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation", | |
| "author": "Ahsan Alvi, Binxin Ru, Jan-Peter Calliess, Stephen Roberts, Michael A Osborne", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4152" | |
| }, | |
| { | |
| "id": "site_2fd6c88687", | |
| "title": "AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss", | |
| "author": "Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4214" | |
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| { | |
| "id": "site_d64823fb26", | |
| "title": "Automated Model Selection with Bayesian Quadrature", | |
| "author": "Henry Chai, Jean-Francois Ton, Michael A Osborne, Roman Garnett", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3784" | |
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| { | |
| "id": "site_8f2b2d4178", | |
| "title": "Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth", | |
| "author": "Jacob Whitehill, Anand Ramakrishnan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3562" | |
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| { | |
| "id": "site_050ae480ad", | |
| "title": "Automatic Posterior Transformation for Likelihood-Free Inference", | |
| "author": "David Greenberg, Marcel Nonnenmacher, Jakob Macke", | |
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| "site": "https://icml.cc/virtual/2019/poster/4268" | |
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| { | |
| "id": "site_badaa7a336", | |
| "title": "Autoregressive Energy Machines", | |
| "author": "Conor Durkan, Charlie Nash", | |
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| "site": "https://icml.cc/virtual/2019/poster/3871" | |
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| { | |
| "id": "site_48e7568f2d", | |
| "title": "BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning", | |
| "author": "Asa Cooper Stickland, Iain Murray", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4070" | |
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| { | |
| "id": "site_4e1c9ea7cf", | |
| "title": "Band-limited Training and Inference for Convolutional Neural Networks", | |
| "author": "Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron Elmore, Michael Franklin", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3587" | |
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| { | |
| "id": "site_d2557dc6ab", | |
| "title": "Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case", | |
| "author": "Alina Beygelzimer, David Pal, Balazs Szorenyi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3672" | |
| }, | |
| { | |
| "id": "site_cacbfdd2fa", | |
| "title": "Batch Policy Learning under Constraints", | |
| "author": "Hoang Le, Cameron Voloshin, Yisong Yue", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3576" | |
| }, | |
| { | |
| "id": "site_35eeecc246", | |
| "title": "BayesNAS: A Bayesian Approach for Neural Architecture Search", | |
| "author": "Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4231" | |
| }, | |
| { | |
| "id": "site_8fc9135754", | |
| "title": "Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning", | |
| "author": "Jakob Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3726" | |
| }, | |
| { | |
| "id": "site_bac192034b", | |
| "title": "Bayesian Counterfactual Risk Minimization", | |
| "author": "Ben London, Ted Sandler", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3876" | |
| }, | |
| { | |
| "id": "site_ee6bf02706", | |
| "title": "Bayesian Deconditional Kernel Mean Embeddings", | |
| "author": "Kelvin Hsu, Fabio Ramos", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3983" | |
| }, | |
| { | |
| "id": "site_b2f726f7ef", | |
| "title": "Bayesian Generative Active Deep Learning", | |
| "author": "Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3619" | |
| }, | |
| { | |
| "id": "site_be5d84662f", | |
| "title": "Bayesian Joint Spike-and-Slab Graphical Lasso", | |
| "author": "Zehang Li, Tyler Mccormick, Samuel Clark", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3635" | |
| }, | |
| { | |
| "id": "site_803f23132c", | |
| "title": "Bayesian Nonparametric Federated Learning of Neural Networks", | |
| "author": "Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3892" | |
| }, | |
| { | |
| "id": "site_4a797da16a", | |
| "title": "Bayesian Optimization Meets Bayesian Optimal Stopping", | |
| "author": "Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3919" | |
| }, | |
| { | |
| "id": "site_73c0b7a499", | |
| "title": "Bayesian Optimization of Composite Functions", | |
| "author": "Raul Astudillo, Peter I Frazier", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3963" | |
| }, | |
| { | |
| "id": "site_0b1ac87522", | |
| "title": "Bayesian leave-one-out cross-validation for large data", | |
| "author": "M\u00e5ns Magnusson, Michael Andersen, Johan Jonasson, Aki Vehtari", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3825" | |
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| { | |
| "id": "site_5982e8ad08", | |
| "title": "Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously", | |
| "author": "Julian Zimmert, Haipeng Luo, Chen-Yu Wei", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3810" | |
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| { | |
| "id": "site_44e6582cbc", | |
| "title": "Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA", | |
| "author": "Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra Slavkovi\u0107", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3732" | |
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| { | |
| "id": "site_bdd8a3f8ac", | |
| "title": "Better generalization with less data using robust gradient descent", | |
| "author": "Matthew J. Holland, Kazushi Ikeda", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3604" | |
| }, | |
| { | |
| "id": "site_fb9819548b", | |
| "title": "Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio", | |
| "author": "Kaito Fujii, Shinsaku Sakaue", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3723" | |
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| { | |
| "id": "site_9ee43a5e6f", | |
| "title": "Beyond Backprop: Online Alternating Minimization with Auxiliary Variables", | |
| "author": "Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo DiAchille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4325" | |
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| { | |
| "id": "site_92c9f61dfa", | |
| "title": "Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior", | |
| "author": "Fadhel Ayed, Juho Lee, Francois Caron", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4022" | |
| }, | |
| { | |
| "id": "site_ca5d23359a", | |
| "title": "Bias Also Matters: Bias Attribution for Deep Neural Network Explanation", | |
| "author": "Shengjie Wang, Tianyi Zhou, Jeff Bilmes", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3905" | |
| }, | |
| { | |
| "id": "site_01313fc427", | |
| "title": "Bilinear Bandits with Low-rank Structure", | |
| "author": "Kwang-Sung Jun, Rebecca Willett, Stephen Wright, Robert Nowak", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3780" | |
| }, | |
| { | |
| "id": "site_2c05a15624", | |
| "title": "Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables", | |
| "author": "Friso Kingma, Pieter Abbeel, Jonathan Ho", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4305" | |
| }, | |
| { | |
| "id": "site_e3c6c866e1", | |
| "title": "Blended Conditonal Gradients", | |
| "author": "G\u00e1bor Braun, Sebastian Pokutta, Dan Tu, Stephen Wright", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4183" | |
| }, | |
| { | |
| "id": "site_d34dff3018", | |
| "title": "Boosted Density Estimation Remastered", | |
| "author": "Zac Cranko, Richard Nock", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3788" | |
| }, | |
| { | |
| "id": "site_2813a5e7e0", | |
| "title": "Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy", | |
| "author": "Kareem Amin, Alex Kulesza, andres munoz, Sergei Vassilvitskii", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4220" | |
| }, | |
| { | |
| "id": "site_e2770ca2c2", | |
| "title": "Breaking Inter-Layer Co-Adaptation by Classifier Anonymization", | |
| "author": "Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3713" | |
| }, | |
| { | |
| "id": "site_c0f0ff8e14", | |
| "title": "Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities", | |
| "author": "Octavian-Eugen Ganea, Sylvain Gelly, Gary Becigneul, Aliaksei Severyn", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4329" | |
| }, | |
| { | |
| "id": "site_41315feccb", | |
| "title": "Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms", | |
| "author": "Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3718" | |
| }, | |
| { | |
| "id": "site_be7f51aa71", | |
| "title": "Bridging Theory and Algorithm for Domain Adaptation", | |
| "author": "Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael Jordan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3630" | |
| }, | |
| { | |
| "id": "site_f1bac93bc3", | |
| "title": "CAB: Continuous Adaptive Blending for Policy Evaluation and Learning", | |
| "author": "Yi Su, Luke Lequn Wang, Michele Santacatterina, Thorsten Joachims", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4208" | |
| }, | |
| { | |
| "id": "site_169b3d8ad0", | |
| "title": "CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network", | |
| "author": "Tom Kenter, Vincent Wan, Chun-an Chan, Robert Clark, Jakub Vit", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3864" | |
| }, | |
| { | |
| "id": "site_bd5ab0e424", | |
| "title": "COMIC: Multi-view Clustering Without Parameter Selection", | |
| "author": "Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3777" | |
| }, | |
| { | |
| "id": "site_70fb8f9be9", | |
| "title": "CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning", | |
| "author": "C\u00e9dric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3722" | |
| }, | |
| { | |
| "id": "site_0eec04e9f2", | |
| "title": "Calibrated Approximate Bayesian Inference", | |
| "author": "Hanwen Xing, Geoff Nicholls, Jeong Lee", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4074" | |
| }, | |
| { | |
| "id": "site_57fad4003c", | |
| "title": "Calibrated Model-Based Deep Reinforcement Learning", | |
| "author": "Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3997" | |
| }, | |
| { | |
| "id": "site_631c70c0ea", | |
| "title": "CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration", | |
| "author": "Gell\u00e9rt Weisz, Andr\u00e1s Gy\u00f6rgy, Csaba Szepesvari", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3650" | |
| }, | |
| { | |
| "id": "site_54a4b47b4b", | |
| "title": "Categorical Feature Compression via Submodular Optimization", | |
| "author": "Mohammad Hossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab Mirrokni, Afshin Rostamizadeh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4276" | |
| }, | |
| { | |
| "id": "site_95baf12b6d", | |
| "title": "Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models", | |
| "author": "Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4045" | |
| }, | |
| { | |
| "id": "site_265995ddaa", | |
| "title": "Causal Identification under Markov Equivalence: Completeness Results", | |
| "author": "Amin Jaber, Jiji Zhang, Elias Bareinboim", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3841" | |
| }, | |
| { | |
| "id": "site_576642ffaf", | |
| "title": "Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints", | |
| "author": "Nikolaos Liakopoulos, Apostolos Destounis, Georgios Paschos, Thrasyvoulos Spyropoulos, Panayotis Mertikopoulos", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4210" | |
| }, | |
| { | |
| "id": "site_2e89173d93", | |
| "title": "Certified Adversarial Robustness via Randomized Smoothing", | |
| "author": "Jeremy Cohen, Elan Rosenfeld, Zico Kolter", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3907" | |
| }, | |
| { | |
| "id": "site_929320ae81", | |
| "title": "Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations", | |
| "author": "Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Ratsch, Sylvain Gelly, Bernhard Sch\u00f6lkopf, Olivier Bachem", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4085" | |
| }, | |
| { | |
| "id": "site_33f46ae8e1", | |
| "title": "Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD", | |
| "author": "Marten van Dijk, Lam Nguyen, PHUONG_HA NGUYEN, Dzung Phan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3843" | |
| }, | |
| { | |
| "id": "site_9f71ce12ae", | |
| "title": "Characterizing Well-Behaved vs. Pathological Deep Neural Networks", | |
| "author": "Antoine Labatie", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4205" | |
| }, | |
| { | |
| "id": "site_928bcf0b40", | |
| "title": "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group", | |
| "author": "Mario Lezcano Casado, David Mart\u00ednez-Rubio", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3707" | |
| }, | |
| { | |
| "id": "site_3265401aba", | |
| "title": "Circuit-GNN: Graph Neural Networks for Distributed Circuit Design", | |
| "author": "GUO ZHANG, Hao He, Dina Katabi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4281" | |
| }, | |
| { | |
| "id": "site_de2d46d9b7", | |
| "title": "Classification from Positive, Unlabeled and Biased Negative Data", | |
| "author": "Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3625" | |
| }, | |
| { | |
| "id": "site_8d59667268", | |
| "title": "Classifying Treatment Responders Under Causal Effect Monotonicity", | |
| "author": "Nathan Kallus", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4296" | |
| }, | |
| { | |
| "id": "site_e5c93fde9f", | |
| "title": "Co-Representation Network for Generalized Zero-Shot Learning", | |
| "author": "Fei Zhang, Guangming Shi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3811" | |
| }, | |
| { | |
| "id": "site_720959ab09", | |
| "title": "Co-manifold learning with missing data", | |
| "author": "Gal Mishne, Eric Chi, Ronald Coifman", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3946" | |
| }, | |
| { | |
| "id": "site_a7dba858db", | |
| "title": "CoT: Cooperative Training for Generative Modeling of Discrete Data", | |
| "author": "Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3885" | |
| }, | |
| { | |
| "id": "site_2e1e1c19a5", | |
| "title": "Cognitive model priors for predicting human decisions", | |
| "author": "Joshua C Peterson, David D Bourgin, Daniel Reichman, Thomas Griffiths, Stuart Russell", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3762" | |
| }, | |
| { | |
| "id": "site_bfa757c85a", | |
| "title": "Collaborative Channel Pruning for Deep Networks", | |
| "author": "Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3988" | |
| }, | |
| { | |
| "id": "site_ad2a6cf9d4", | |
| "title": "Collaborative Evolutionary Reinforcement Learning", | |
| "author": "Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3992" | |
| }, | |
| { | |
| "id": "site_c512ccede2", | |
| "title": "Collective Model Fusion for Multiple Black-Box Experts", | |
| "author": "Minh Hoang, Nghia Hoang, Bryan Kian Hsiang Low, Carleton Kingsford", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3952" | |
| }, | |
| { | |
| "id": "site_cdecbeb5aa", | |
| "title": "Combating Label Noise in Deep Learning using Abstention", | |
| "author": "Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4141" | |
| }, | |
| { | |
| "id": "site_00db119207", | |
| "title": "Combining parametric and nonparametric models for off-policy evaluation", | |
| "author": "Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4093" | |
| }, | |
| { | |
| "id": "site_2a366826ec", | |
| "title": "Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters", | |
| "author": "Jayadev Acharya, Ziteng Sun", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3570" | |
| }, | |
| { | |
| "id": "site_bc76ed125b", | |
| "title": "Communication-Constrained Inference and the Role of Shared Randomness", | |
| "author": "Jayadev Acharya, Cl\u00e9ment Canonne, Himanshu Tyagi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3569" | |
| }, | |
| { | |
| "id": "site_fee6946429", | |
| "title": "CompILE: Compositional Imitation Learning and Execution", | |
| "author": "Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter Battaglia", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4035" | |
| }, | |
| { | |
| "id": "site_094dcd272d", | |
| "title": "Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games", | |
| "author": "Adrian Rivera Cardoso, Jacob Abernethy, He Wang, Huan Xu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3866" | |
| }, | |
| { | |
| "id": "site_dfbaf88e33", | |
| "title": "Complementary-Label Learning for Arbitrary Losses and Models", | |
| "author": "Takashi Ishida, Gang Niu, Aditya Menon, Masashi Sugiyama", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4046" | |
| }, | |
| { | |
| "id": "site_960e77de8a", | |
| "title": "Complexity of Linear Regions in Deep Networks", | |
| "author": "Boris Hanin, David Rolnick", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3567" | |
| }, | |
| { | |
| "id": "site_1fa7adc90c", | |
| "title": "Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm", | |
| "author": "Sepideh Mahabadi, Piotr Indyk, Shayan Oveis Gharan, Alireza Rezaei", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3957" | |
| }, | |
| { | |
| "id": "site_579d756e7a", | |
| "title": "Composing Entropic Policies using Divergence Correction", | |
| "author": "Jonathan Hunt, Andre Barreto, Timothy Lillicrap, Nicolas Heess", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3678" | |
| }, | |
| { | |
| "id": "site_e4b8952603", | |
| "title": "Composing Value Functions in Reinforcement Learning", | |
| "author": "Benjamin van Niekerk, Steven James, Adam Earle, Benjamin Rosman", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3993" | |
| }, | |
| { | |
| "id": "site_33ecd760a6", | |
| "title": "Compositional Fairness Constraints for Graph Embeddings", | |
| "author": "Avishek Bose, William Hamilton", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3936" | |
| }, | |
| { | |
| "id": "site_6ebbfe7221", | |
| "title": "Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data", | |
| "author": "Vatsal Sharan, Kai Sheng Tai, Peter Bailis, Gregory Valiant", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3747" | |
| }, | |
| { | |
| "id": "site_ed936d3420", | |
| "title": "Compressing Gradient Optimizers via Count-Sketches", | |
| "author": "Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3666" | |
| }, | |
| { | |
| "id": "site_40cf8b4f4c", | |
| "title": "Concentration Inequalities for Conditional Value at Risk", | |
| "author": "Philip Thomas, Erik Learned-Miller", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4265" | |
| }, | |
| { | |
| "id": "site_628272b948", | |
| "title": "Concrete Autoencoders: Differentiable Feature Selection and Reconstruction", | |
| "author": "Muhammed Fatih Bal\u0131n, Abubakar Abid, James Zou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4217" | |
| }, | |
| { | |
| "id": "site_784ec98bc3", | |
| "title": "Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator", | |
| "author": "Alp Yurtsever, Suvrit Sra, Volkan Cevher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4115" | |
| }, | |
| { | |
| "id": "site_b4e899a4c6", | |
| "title": "Conditional Independence in Testing Bayesian Networks", | |
| "author": "Yujia Shen, Haiying Huang, Arthur Choi, Adnan Darwiche", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4324" | |
| }, | |
| { | |
| "id": "site_166145ed13", | |
| "title": "Conditioning by adaptive sampling for robust design", | |
| "author": "David Brookes, Jennifer Listgarten", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4261" | |
| }, | |
| { | |
| "id": "site_f2c11a2d78", | |
| "title": "Connectivity-Optimized Representation Learning via Persistent Homology", | |
| "author": "Christoph Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3818" | |
| }, | |
| { | |
| "id": "site_abf4b1a870", | |
| "title": "Context-Aware Zero-Shot Learning for Object Recognition", | |
| "author": "Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4039" | |
| }, | |
| { | |
| "id": "site_f6af53408a", | |
| "title": "Contextual Memory Trees", | |
| "author": "Wen Sun, Alina Beygelzimer, Hal Daum\u00e9 III, John Langford, Paul Mineiro", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4174" | |
| }, | |
| { | |
| "id": "site_88a547c849", | |
| "title": "Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model", | |
| "author": "Gi-Soo Kim, Myunghee Cho Paik", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3696" | |
| }, | |
| { | |
| "id": "site_9bd8f21091", | |
| "title": "Control Regularization for Reduced Variance Reinforcement Learning", | |
| "author": "Richard Cheng, Abhinav Verma, Gabor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3640" | |
| }, | |
| { | |
| "id": "site_6ac57ea62a", | |
| "title": "Convolutional Poisson Gamma Belief Network", | |
| "author": "CHAOJIE WANG, Bo Chen, SUCHENG XIAO, Mingyuan Zhou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3613" | |
| }, | |
| { | |
| "id": "site_3158ffd99c", | |
| "title": "Coresets for Ordered Weighted Clustering", | |
| "author": "Vladimir Braverman, Shaofeng Jiang, Robert Krauthgamer, Xuan Wu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3750" | |
| }, | |
| { | |
| "id": "site_63abe1bfd8", | |
| "title": "Correlated Variational Auto-Encoders", | |
| "author": "Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3953" | |
| }, | |
| { | |
| "id": "site_a5875756f6", | |
| "title": "Correlated bandits or: How to minimize mean-squared error online", | |
| "author": "Vinay Praneeth Boda, Prashanth L.A.", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3870" | |
| }, | |
| { | |
| "id": "site_4c2782624b", | |
| "title": "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models", | |
| "author": "Michael Oberst, David Sontag", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4272" | |
| }, | |
| { | |
| "id": "site_cf8e45f502", | |
| "title": "Counterfactual Visual Explanations", | |
| "author": "Yash Goyal, Ziyan Wu, Jan Ernst, Dhruv Batra, Devi Parikh, Stefan Lee", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4068" | |
| }, | |
| { | |
| "id": "site_dce6500b20", | |
| "title": "Cross-Domain 3D Equivariant Image Embeddings", | |
| "author": "Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3729" | |
| }, | |
| { | |
| "id": "site_64d68095f8", | |
| "title": "Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty", | |
| "author": "Youngjin Kim, Daniel Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3829" | |
| }, | |
| { | |
| "id": "site_a5615f58e3", | |
| "title": "Curvature-Exploiting Acceleration of Elastic Net Computations", | |
| "author": "Vien Mai, Mikael Johansson", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4157" | |
| }, | |
| { | |
| "id": "site_a1252bf48f", | |
| "title": "DAG-GNN: DAG Structure Learning with Graph Neural Networks", | |
| "author": "Yue Yu, Jie Chen, Tian Gao, Mo Yu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4301" | |
| }, | |
| { | |
| "id": "site_5fd34e0d92", | |
| "title": "DBSCAN++: Towards fast and scalable density clustering", | |
| "author": "Jennifer Jang, Heinrich Jiang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3978" | |
| }, | |
| { | |
| "id": "site_7076ef3502", | |
| "title": "DL2: Training and Querying Neural Networks with Logic", | |
| "author": "Marc Fischer, Mislav Balunovic, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, Martin Vechev", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4331" | |
| }, | |
| { | |
| "id": "site_84ec08afe3", | |
| "title": "DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures", | |
| "author": "Andrew R Lawrence, Carl Henrik Ek, Neill Campbell", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3566" | |
| }, | |
| { | |
| "id": "site_c68ffefa33", | |
| "title": "Data Poisoning Attacks in Multi-Party Learning", | |
| "author": "Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3817" | |
| }, | |
| { | |
| "id": "site_c4170aa28d", | |
| "title": "Data Poisoning Attacks on Stochastic Bandits", | |
| "author": "Fang Liu, Ness Shroff", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3961" | |
| }, | |
| { | |
| "id": "site_c5f5bf83c5", | |
| "title": "Data Shapley: Equitable Valuation of Data for Machine Learning", | |
| "author": "Amirata Ghorbani, James Zou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4290" | |
| }, | |
| { | |
| "id": "site_8bedda05ac", | |
| "title": "Dead-ends and Secure Exploration in Reinforcement Learning", | |
| "author": "Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3651" | |
| }, | |
| { | |
| "id": "site_bac12d01eb", | |
| "title": "Decentralized Exploration in Multi-Armed Bandits", | |
| "author": "Rapha\u00ebl F\u00e9raud, REDA ALAMI, Romain Laroche", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3563" | |
| }, | |
| { | |
| "id": "site_f15f78d42f", | |
| "title": "Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication", | |
| "author": "Anastasiia Koloskova, Sebastian Stich, Martin Jaggi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4005" | |
| }, | |
| { | |
| "id": "site_675bed7c44", | |
| "title": "Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models", | |
| "author": "Kaspar M\u00e4rtens, Kieran Campbell, Christopher Yau", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4154" | |
| }, | |
| { | |
| "id": "site_94d1a717c6", | |
| "title": "Deep Compressed Sensing", | |
| "author": "Yan Wu, Mihaela Rosca, Timothy Lillicrap", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4326" | |
| }, | |
| { | |
| "id": "site_f467bf6b04", | |
| "title": "Deep Counterfactual Regret Minimization", | |
| "author": "Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3751" | |
| }, | |
| { | |
| "id": "site_2cff039ce2", | |
| "title": "Deep Factors for Forecasting", | |
| "author": "Yuyang Wang, Alex Smola, Danielle Robinson, Jan Gasthaus, Dean Foster, Tim Januschowski", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3881" | |
| }, | |
| { | |
| "id": "site_cd1283991c", | |
| "title": "Deep Gaussian Processes with Importance-Weighted Variational Inference", | |
| "author": "Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc P Deisenroth", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4027" | |
| }, | |
| { | |
| "id": "site_000a1fc67b", | |
| "title": "Deep Generative Learning via Variational Gradient Flow", | |
| "author": "Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3826" | |
| }, | |
| { | |
| "id": "site_fcba5c3986", | |
| "title": "Deep Residual Output Layers for Neural Language Generation", | |
| "author": "Nikolaos Pappas, James Henderson", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4145" | |
| }, | |
| { | |
| "id": "site_9568a41115", | |
| "title": "DeepMDP: Learning Continuous Latent Space Models for Representation Learning", | |
| "author": "Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc Bellemare", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4097" | |
| }, | |
| { | |
| "id": "site_2b21f73a9e", | |
| "title": "DeepNose: Using artificial neural networks to represent the space of odorants", | |
| "author": "Ngoc Tran, Daniel Kepple, Sergey Shuvaev, Alexei Koulakov", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4175" | |
| }, | |
| { | |
| "id": "site_136887b0ca", | |
| "title": "Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning", | |
| "author": "Dong Yin, Yudong Chen, Kannan Ramchandran, Peter Bartlett", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3660" | |
| }, | |
| { | |
| "id": "site_83446dc685", | |
| "title": "Demystifying Dropout", | |
| "author": "Hongchang Gao, Jian Pei, Heng Huang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4061" | |
| }, | |
| { | |
| "id": "site_b626be68eb", | |
| "title": "Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm", | |
| "author": "Kejun Huang, Xiao Fu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3926" | |
| }, | |
| { | |
| "id": "site_edddf1e41a", | |
| "title": "Diagnosing Bottlenecks in Deep Q-learning Algorithms", | |
| "author": "Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4253" | |
| }, | |
| { | |
| "id": "site_646f88d072", | |
| "title": "Differentiable Dynamic Normalization for Learning Deep Representation", | |
| "author": "Ping Luo, Peng Zhanglin, Shao Wenqi, Zhang ruimao, Ren jiamin, Wu lingyun", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3623" | |
| }, | |
| { | |
| "id": "site_c637bc9a01", | |
| "title": "Differentiable Linearized ADMM", | |
| "author": "Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3629" | |
| }, | |
| { | |
| "id": "site_cfc977141a", | |
| "title": "Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory", | |
| "author": "Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3903" | |
| }, | |
| { | |
| "id": "site_53d981da39", | |
| "title": "Differentially Private Empirical Risk Minimization with Non-convex Loss Functions", | |
| "author": "Di Wang, Changyou Chen, Jinhui Xu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3618" | |
| }, | |
| { | |
| "id": "site_5eaeb79408", | |
| "title": "Differentially Private Fair Learning", | |
| "author": "Matthew Jagielski, Michael Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan Ullman", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4111" | |
| }, | |
| { | |
| "id": "site_5e2e63b632", | |
| "title": "Differentially Private Learning of Geometric Concepts", | |
| "author": "Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3863" | |
| }, | |
| { | |
| "id": "site_802d10f6cd", | |
| "title": "Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning", | |
| "author": "Seungyul Han, Youngchul Sung", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3671" | |
| }, | |
| { | |
| "id": "site_a8cd647657", | |
| "title": "Dimensionality Reduction for Tukey Regression", | |
| "author": "Kenneth Clarkson, Ruosong Wang, David Woodruff", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3896" | |
| }, | |
| { | |
| "id": "site_e7e1eda14e", | |
| "title": "Direct Uncertainty Prediction for Medical Second Opinions", | |
| "author": "Maithra Raghu, Katy Blumer, Rory sayres, Ziad Obermeyer, Bobby Kleinberg, Sendhil Mullainathan, Jon Kleinberg", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3695" | |
| }, | |
| { | |
| "id": "site_bb193f7598", | |
| "title": "Dirichlet Simplex Nest and Geometric Inference", | |
| "author": "Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3943" | |
| }, | |
| { | |
| "id": "site_008e81c4f0", | |
| "title": "Discovering Conditionally Salient Features with Statistical Guarantees", | |
| "author": "Jaime Roquero Gimenez, James Zou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4238" | |
| }, | |
| { | |
| "id": "site_559a5beba8", | |
| "title": "Discovering Context Effects from Raw Choice Data", | |
| "author": "Arjun Seshadri, Alexander Peysakhovich, Johan Ugander", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4284" | |
| }, | |
| { | |
| "id": "site_6cde7510a7", | |
| "title": "Discovering Latent Covariance Structures for Multiple Time Series", | |
| "author": "Anh Tong, Jaesik Choi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4069" | |
| }, | |
| { | |
| "id": "site_79913650ff", | |
| "title": "Discovering Options for Exploration by Minimizing Cover Time", | |
| "author": "Yuu Jinnai, Jee Won Park, David Abel, George Konidaris", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4279" | |
| }, | |
| { | |
| "id": "site_d16a75c619", | |
| "title": "Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography", | |
| "author": "Andrew Miller, Ziad Obermeyer, John Cunningham, Sendhil Mullainathan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3736" | |
| }, | |
| { | |
| "id": "site_b528e6cc2e", | |
| "title": "Disentangled Graph Convolutional Networks", | |
| "author": "Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3948" | |
| }, | |
| { | |
| "id": "site_c4ec33c280", | |
| "title": "Disentangling Disentanglement in Variational Autoencoders", | |
| "author": "Emile Mathieu, Tom Rainforth, N Siddharth, Yee-Whye Teh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3855" | |
| }, | |
| { | |
| "id": "site_21e42ae38e", | |
| "title": "Distributed Learning over Unreliable Networks", | |
| "author": "Chen Yu, Hanlin Tang, Cedric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4184" | |
| }, | |
| { | |
| "id": "site_759f1f9ed0", | |
| "title": "Distributed Learning with Sublinear Communication", | |
| "author": "Jayadev Acharya, Christopher De Sa, Dylan Foster, Karthik Sridharan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3787" | |
| }, | |
| { | |
| "id": "site_1dfcdd30c5", | |
| "title": "Distributed Weighted Matching via Randomized Composable Coresets", | |
| "author": "Sepehr Assadi, Mohammad Hossein Bateni, Vahab Mirrokni", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4194" | |
| }, | |
| { | |
| "id": "site_99eeb1444c", | |
| "title": "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures", | |
| "author": "Ruo-Chun Tzeng, Shan-Hung (Brandon) Wu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3807" | |
| }, | |
| { | |
| "id": "site_d94bf19d7c", | |
| "title": "Distribution calibration for regression", | |
| "author": "Hao Song, Tom Diethe, Meelis Kull, Peter Flach", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4047" | |
| }, | |
| { | |
| "id": "site_7bd82ea757", | |
| "title": "Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN", | |
| "author": "dror freirich, Tzahi Shimkin, Ron Meir, Aviv Tamar", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3848" | |
| }, | |
| { | |
| "id": "site_89e1eaa4e2", | |
| "title": "Distributional Reinforcement Learning for Efficient Exploration", | |
| "author": "Borislav Mavrin, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4297" | |
| }, | |
| { | |
| "id": "site_31e24b82c7", | |
| "title": "Do ImageNet Classifiers Generalize to ImageNet?", | |
| "author": "Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4270" | |
| }, | |
| { | |
| "id": "site_5a391a9ab7", | |
| "title": "Does Data Augmentation Lead to Positive Margin?", | |
| "author": "Shashank Rajput, Zhili Feng, Zachary Charles, Po-Ling Loh, Dimitris Papailiopoulos", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3770" | |
| }, | |
| { | |
| "id": "site_8060a91f93", | |
| "title": "Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment", | |
| "author": "Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary Lipton", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3752" | |
| }, | |
| { | |
| "id": "site_c350b7dfd5", | |
| "title": "Domain Agnostic Learning with Disentangled Representations", | |
| "author": "Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3571" | |
| }, | |
| { | |
| "id": "site_107b68dc62", | |
| "title": "Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random", | |
| "author": "Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3717" | |
| }, | |
| { | |
| "id": "site_0d43b7ee8f", | |
| "title": "Doubly-Competitive Distribution Estimation", | |
| "author": "Yi Hao, Alon Orlitsky", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3929" | |
| }, | |
| { | |
| "id": "site_8a40a2a521", | |
| "title": "Dropout as a Structured Shrinkage Prior", | |
| "author": "Eric Nalisnick, Jose Miguel Hernandez-Lobato, Padhraic Smyth", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3900" | |
| }, | |
| { | |
| "id": "site_37ba3f3a84", | |
| "title": "Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication", | |
| "author": "Pedro Soto, Jun Li, Xiaodi Fan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3960" | |
| }, | |
| { | |
| "id": "site_af5a1dd8e8", | |
| "title": "Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem", | |
| "author": "Junyu Cao, Wei Sun", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3954" | |
| }, | |
| { | |
| "id": "site_c1b8a56304", | |
| "title": "Dynamic Measurement Scheduling for Event Forecasting using Deep RL", | |
| "author": "Chun-Hao (Kingsley) Chang, Mingjie Mai, Anna Goldenberg", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4215" | |
| }, | |
| { | |
| "id": "site_94a130acda", | |
| "title": "Dynamic Weights in Multi-Objective Deep Reinforcement Learning", | |
| "author": "Axel Abels, Diederik Roijers, Tom Lenaerts, Ann Now\u00e9, Denis Steckelmacher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3636" | |
| }, | |
| { | |
| "id": "site_0ac2cb3981", | |
| "title": "EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE", | |
| "author": "Chao Ma, Sebastian Tschiatschek, Konstantina Palla, Jose Miguel Hernandez-Lobato, Sebastian Nowozin, Cheng Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3924" | |
| }, | |
| { | |
| "id": "site_1d726b155e", | |
| "title": "ELF OpenGo: an analysis and open reimplementation of AlphaZero", | |
| "author": "Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3883" | |
| }, | |
| { | |
| "id": "site_1e4e23df06", | |
| "title": "EMI: Exploration with Mutual Information", | |
| "author": "Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4026" | |
| }, | |
| { | |
| "id": "site_27324edefb", | |
| "title": "Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems", | |
| "author": "Ted Meeds, Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4101" | |
| }, | |
| { | |
| "id": "site_f19b43c727", | |
| "title": "Efficient Dictionary Learning with Gradient Descent", | |
| "author": "Dar Gilboa, Sam Buchanan, John Wright", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3789" | |
| }, | |
| { | |
| "id": "site_687049296c", | |
| "title": "Efficient Full-Matrix Adaptive Regularization", | |
| "author": "Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4302" | |
| }, | |
| { | |
| "id": "site_0d61a0a8ad", | |
| "title": "Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations", | |
| "author": "Quanming Yao, James Kwok, Bo Han", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3790" | |
| }, | |
| { | |
| "id": "site_b6c6843cee", | |
| "title": "Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables", | |
| "author": "Kate Rakelly, Aurick Zhou, Chelsea Finn, Sergey Levine, Deirdre Quillen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3641" | |
| }, | |
| { | |
| "id": "site_d53857db32", | |
| "title": "Efficient On-Device Models using Neural Projections", | |
| "author": "Sujith Ravi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3794" | |
| }, | |
| { | |
| "id": "site_b60b0684d3", | |
| "title": "Efficient Training of BERT by Progressively Stacking", | |
| "author": "Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3819" | |
| }, | |
| { | |
| "id": "site_c32ea255cf", | |
| "title": "Efficient learning of smooth probability functions from Bernoulli tests with guarantees", | |
| "author": "Paul Rolland, Ali Kavis, Alexander Niklaus Immer, Adish Singla, Volkan Cevher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4143" | |
| }, | |
| { | |
| "id": "site_5229c9b086", | |
| "title": "Efficient optimization of loops and limits with randomized telescoping sums", | |
| "author": "Alex Beatson, Ryan P Adams", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3852" | |
| }, | |
| { | |
| "id": "site_0028dfd15f", | |
| "title": "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks", | |
| "author": "Mingxing Tan, Quoc Le", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3661" | |
| }, | |
| { | |
| "id": "site_24bdc87b91", | |
| "title": "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis", | |
| "author": "Chaoqi Wang, Roger Grosse, Sanja Fidler, Guodong Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4306" | |
| }, | |
| { | |
| "id": "site_de866a8781", | |
| "title": "Emerging Convolutions for Generative Normalizing Flows", | |
| "author": "Emiel Hoogeboom, Rianne Van den Berg, Max Welling", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4088" | |
| }, | |
| { | |
| "id": "site_d84c7db949", | |
| "title": "Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models", | |
| "author": "Eldan Cohen, Christopher Beck", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4064" | |
| }, | |
| { | |
| "id": "site_fdf0763bac", | |
| "title": "End-to-End Probabilistic Inference for Nonstationary Audio Analysis", | |
| "author": "William Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4030" | |
| }, | |
| { | |
| "id": "site_e96a0c2a3a", | |
| "title": "Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs", | |
| "author": "Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3909" | |
| }, | |
| { | |
| "id": "site_66d40eba18", | |
| "title": "Equivariant Transformer Networks", | |
| "author": "Kai Sheng Tai, Peter Bailis, Gregory Valiant", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3908" | |
| }, | |
| { | |
| "id": "site_fa47146ba2", | |
| "title": "Error Feedback Fixes SignSGD and other Gradient Compression Schemes", | |
| "author": "Sai Praneeth Reddy Karimireddy, Quentin Rebjock, Sebastian Stich, Martin Jaggi", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4158" | |
| }, | |
| { | |
| "id": "site_98b996cf84", | |
| "title": "Escaping Saddle Points with Adaptive Gradient Methods", | |
| "author": "Matthew Staib, Sashank Jakkam Reddi, Satyen Kale, Sanjiv Kumar, Suvrit Sra", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4059" | |
| }, | |
| { | |
| "id": "site_bf10166f42", | |
| "title": "Estimate Sequences for Variance-Reduced Stochastic Composite Optimization", | |
| "author": "Andrei Kulunchakov, Julien Mairal", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4062" | |
| }, | |
| { | |
| "id": "site_cc19aa38fe", | |
| "title": "Estimating Information Flow in Deep Neural Networks", | |
| "author": "Ziv Goldfeld, Ewout van den Berg, Kristjan Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4128" | |
| }, | |
| { | |
| "id": "site_a7bb6b221e", | |
| "title": "Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation", | |
| "author": "Marco Ancona, Cengiz Oztireli, Markus Gross", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3901" | |
| }, | |
| { | |
| "id": "site_57b1ca7d3e", | |
| "title": "Exploiting Worker Correlation for Label Aggregation in Crowdsourcing", | |
| "author": "Yuan Li, Benjamin Rubinstein, Trevor Cohn", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4013" | |
| }, | |
| { | |
| "id": "site_7835bc2758", | |
| "title": "Exploiting structure of uncertainty for efficient matroid semi-bandits", | |
| "author": "Pierre Perrault, Vianney Perchet, Michal Valko", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3850" | |
| }, | |
| { | |
| "id": "site_56c4705a7a", | |
| "title": "Exploration Conscious Reinforcement Learning Revisited", | |
| "author": "Lior Shani, Yonathan Efroni, Shie Mannor", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3577" | |
| }, | |
| { | |
| "id": "site_79843258ca", | |
| "title": "Exploring interpretable LSTM neural networks over multi-variable data", | |
| "author": "Tian Guo, Tao Lin, Nino Antulov-Fantulin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4209" | |
| }, | |
| { | |
| "id": "site_cabe5fd3c3", | |
| "title": "Exploring the Landscape of Spatial Robustness", | |
| "author": "Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4080" | |
| }, | |
| { | |
| "id": "site_4bc3c18d5d", | |
| "title": "Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations", | |
| "author": "Daniel Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4186" | |
| }, | |
| { | |
| "id": "site_3907f53d22", | |
| "title": "Fair Regression: Quantitative Definitions and Reduction-Based Algorithms", | |
| "author": "Alekh Agarwal, Miroslav Dudik, Steven Wu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4075" | |
| }, | |
| { | |
| "id": "site_f2854c48ca", | |
| "title": "Fair k-Center Clustering for Data Summarization", | |
| "author": "Matth\u00e4us Kleindessner, Pranjal Awasthi, Jamie Morgenstern", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4242" | |
| }, | |
| { | |
| "id": "site_3988b6b377", | |
| "title": "Fairness risk measures", | |
| "author": "Robert C Williamson, Aditya Menon", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3728" | |
| }, | |
| { | |
| "id": "site_e8760798e7", | |
| "title": "Fairness without Harm: Decoupled Classifiers with Preference Guarantees", | |
| "author": "Berk Ustun, Yang Liu, David Parkes", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3684" | |
| }, | |
| { | |
| "id": "site_d3d23e8ea6", | |
| "title": "Fairness-Aware Learning for Continuous Attributes and Treatments", | |
| "author": "Jeremie Mary, Cl\u00e9ment Calauz\u00e8nes, Noureddine El Karoui", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4130" | |
| }, | |
| { | |
| "id": "site_971fe733c2", | |
| "title": "Fairwashing: the risk of rationalization", | |
| "author": "Ulrich AIVODJI, Hiromi Arai, Olivier Fortineau, S\u00e9bastien Gambs, Satoshi Hara, Alain Tapp", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4244" | |
| }, | |
| { | |
| "id": "site_0d6d1532fa", | |
| "title": "Fast Algorithm for Generalized Multinomial Models with Ranking Data", | |
| "author": "Jiaqi Gu, Guosheng Yin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4007" | |
| }, | |
| { | |
| "id": "site_3380e8cbbf", | |
| "title": "Fast Context Adaptation via Meta-Learning", | |
| "author": "Luisa Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4086" | |
| }, | |
| { | |
| "id": "site_1ba0dd0ccf", | |
| "title": "Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning", | |
| "author": "weishi shi, Qi Yu", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3596" | |
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| { | |
| "id": "site_66854af9dc", | |
| "title": "Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications", | |
| "author": "Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3574" | |
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| { | |
| "id": "site_91808b8d59", | |
| "title": "Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise", | |
| "author": "Henry Reeve, Ata Kaban", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3851" | |
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| { | |
| "id": "site_0efbe739d8", | |
| "title": "Fast and Flexible Inference of Joint Distributions from their Marginals", | |
| "author": "Charles Frogner, Tomaso Poggio", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3600" | |
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| { | |
| "id": "site_ce9a83b976", | |
| "title": "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations", | |
| "author": "Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3799" | |
| }, | |
| { | |
| "id": "site_a1ce11323e", | |
| "title": "Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models", | |
| "author": "Chenyang ZHANG, Guosheng Yin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4002" | |
| }, | |
| { | |
| "id": "site_125d7dd4ff", | |
| "title": "Faster Algorithms for Binary Matrix Factorization", | |
| "author": "Ravi Kumar, Rina Panigrahy, Ali Rahimi, David Woodruff", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4153" | |
| }, | |
| { | |
| "id": "site_9a0d993b53", | |
| "title": "Faster Attend-Infer-Repeat with Tractable Probabilistic Models", | |
| "author": "Karl Stelzner, Robert Peharz, Kristian Kersting", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4081" | |
| }, | |
| { | |
| "id": "site_4fbf11ed0a", | |
| "title": "Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization", | |
| "author": "Feihu Huang, Songcan Chen, Heng Huang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3615" | |
| }, | |
| { | |
| "id": "site_5d02528c58", | |
| "title": "Fault Tolerance in Iterative-Convergent Machine Learning", | |
| "author": "Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric Xing", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4193" | |
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| { | |
| "id": "site_307fb279ad", | |
| "title": "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data", | |
| "author": "Sergul Aydore, Thirion Bertrand, Gael Varoquaux", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4127" | |
| }, | |
| { | |
| "id": "site_099a38b701", | |
| "title": "Feature-Critic Networks for Heterogeneous Domain Generalization", | |
| "author": "Yiying Li, Yongxin Yang, Wei Zhou, Timothy Hospedales", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4052" | |
| }, | |
| { | |
| "id": "site_b84405719b", | |
| "title": "Finding Mixed Nash Equilibria of Generative Adversarial Networks", | |
| "author": "Ya-Ping Hsieh, Chen Liu, Volkan Cevher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4102" | |
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| { | |
| "id": "site_504a3a9dcb", | |
| "title": "Finding Options that Minimize Planning Time", | |
| "author": "Yuu Jinnai, David Abel, David Hershkowitz, Michael L. Littman, George Konidaris", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4275" | |
| }, | |
| { | |
| "id": "site_8e5483ffcd", | |
| "title": "Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks", | |
| "author": "Sanjeev Arora, Simon Du, Wei Hu, Zhiyuan Li, Ruosong Wang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3996" | |
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| { | |
| "id": "site_e25ba3801f", | |
| "title": "Fingerprint Policy Optimisation for Robust Reinforcement Learning", | |
| "author": "Supratik Paul, Michael A Osborne, Shimon Whiteson", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3743" | |
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| { | |
| "id": "site_94430a2640", | |
| "title": "Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning", | |
| "author": "Thinh Doan, Siva Maguluri, Justin Romberg", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3727" | |
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| { | |
| "id": "site_62692aaf84", | |
| "title": "First-Order Adversarial Vulnerability of Neural Networks and Input Dimension", | |
| "author": "Carl-Johann Simon-Gabriel, Yann Ollivier, Leon Bottou, Bernhard Sch\u00f6lkopf, David Lopez-Paz", | |
| "status": "Oral", | |
| "track": "main", | |
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| }, | |
| { | |
| "id": "site_1cdef2daa5", | |
| "title": "First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems", | |
| "author": "Ching-pei Lee, Stephen Wright", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3677" | |
| }, | |
| { | |
| "id": "site_cb7e94bf49", | |
| "title": "Flat Metric Minimization with Applications in Generative Modeling", | |
| "author": "Thomas M\u00f6llenhoff, Daniel Cremers", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3598" | |
| }, | |
| { | |
| "id": "site_eac9a36eca", | |
| "title": "Flexibly Fair Representation Learning by Disentanglement", | |
| "author": "Elliot Creager, David Madras, Joern-Henrik Jacobsen, Marissa Weis, Kevin Swersky, Toniann Pitassi, Richard Zemel", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4254" | |
| }, | |
| { | |
| "id": "site_57d5274cc6", | |
| "title": "FloWaveNet : A Generative Flow for Raw Audio", | |
| "author": "Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4060" | |
| }, | |
| { | |
| "id": "site_305ed28dc5", | |
| "title": "Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design", | |
| "author": "Jonathan Ho, Peter Chen, Aravind Srinivas, Rocky Duan, Pieter Abbeel", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3759" | |
| }, | |
| { | |
| "id": "site_c2cfff7c0b", | |
| "title": "Formal Privacy for Functional Data with Gaussian Perturbations", | |
| "author": "Ardalan Mirshani, Matthew Reimherr, Aleksandra Slavkovi\u0107", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4269" | |
| }, | |
| { | |
| "id": "site_7964aaa4ba", | |
| "title": "Functional Transparency for Structured Data: a Game-Theoretic Approach", | |
| "author": "Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi Jaakkola", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4259" | |
| }, | |
| { | |
| "id": "site_f7eb08cc9a", | |
| "title": "GDPP: Learning Diverse Generations using Determinantal Point Processes", | |
| "author": "Mohamed Elfeki, Camille Couprie, Morgane Riviere, Mohamed Elhoseiny", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3621" | |
| }, | |
| { | |
| "id": "site_c17b262c20", | |
| "title": "GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects", | |
| "author": "Edward Smith, Scott Fujimoto, Adriana Romero Soriano, David Meger", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3656" | |
| }, | |
| { | |
| "id": "site_d83e790d07", | |
| "title": "GMNN: Graph Markov Neural Networks", | |
| "author": "Meng Qu, Yoshua Bengio, Jian Tang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4121" | |
| }, | |
| { | |
| "id": "site_aa02975854", | |
| "title": "GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver", | |
| "author": "David John, Vincent Heuveline, Michael Schober", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4213" | |
| }, | |
| { | |
| "id": "site_7ac666cc71", | |
| "title": "Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute", | |
| "author": "Tong Wang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3773" | |
| }, | |
| { | |
| "id": "site_d0fb736ce7", | |
| "title": "Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function", | |
| "author": "Arvind Raghunathan, Anoop Cherian, Devesh Jha", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4156" | |
| }, | |
| { | |
| "id": "site_e80ec5a819", | |
| "title": "Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits", | |
| "author": "Branislav Kveton, Csaba Szepesvari, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3694" | |
| }, | |
| { | |
| "id": "site_c301a3b0b4", | |
| "title": "Gauge Equivariant Convolutional Networks and the Icosahedral CNN", | |
| "author": "Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3872" | |
| }, | |
| { | |
| "id": "site_3166d2b9a5", | |
| "title": "Generalized Approximate Survey Propagation for High-Dimensional Estimation", | |
| "author": "Carlo Lucibello, Luca Saglietti, Yue Lu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4031" | |
| }, | |
| { | |
| "id": "site_5445734146", | |
| "title": "Generalized Linear Rule Models", | |
| "author": "Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Gunluk", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3933" | |
| }, | |
| { | |
| "id": "site_f55fa03ee6", | |
| "title": "Generalized Majorization-Minimization", | |
| "author": "Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro Felzenszwalb", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3690" | |
| }, | |
| { | |
| "id": "site_c5db33f4c6", | |
| "title": "Generalized No Free Lunch Theorem for Adversarial Robustness", | |
| "author": "Elvis Dohmatob", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4225" | |
| }, | |
| { | |
| "id": "site_85b1eae279", | |
| "title": "Generative Adversarial User Model for Reinforcement Learning Based Recommendation System", | |
| "author": "Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4202" | |
| }, | |
| { | |
| "id": "site_f1c93614b4", | |
| "title": "Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation", | |
| "author": "Jinyang Yuan, Bin Li, Xiangyang Xue", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4032" | |
| }, | |
| { | |
| "id": "site_9897b81ed5", | |
| "title": "Geometric Losses for Distributional Learning", | |
| "author": "Arthur Mensch, Mathieu Blondel, Gabriel Peyr\u00e9", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4133" | |
| }, | |
| { | |
| "id": "site_8b82d21114", | |
| "title": "Geometric Scattering for Graph Data Analysis", | |
| "author": "Feng Gao, Guy Wolf, Matthew Hirn", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3844" | |
| }, | |
| { | |
| "id": "site_a383fd8d95", | |
| "title": "Geometry Aware Convolutional Filters for Omnidirectional Images Representation", | |
| "author": "Renata Khasanova, Pascal Frossard", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3612" | |
| }, | |
| { | |
| "id": "site_418f6dbe8c", | |
| "title": "Geometry and Symmetry in Short-and-Sparse Deconvolution", | |
| "author": "Han-Wen Kuo, Yenson Lau, Yuqian Zhang, John Wright", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4207" | |
| }, | |
| { | |
| "id": "site_f974524c5a", | |
| "title": "Global Convergence of Block Coordinate Descent in Deep Learning", | |
| "author": "Jinshan ZENG, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3715" | |
| }, | |
| { | |
| "id": "site_a58c346cef", | |
| "title": "Good Initializations of Variational Bayes for Deep Models", | |
| "author": "Simone Rossi, Pietro Michiardi, Maurizio Filippone", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3847" | |
| }, | |
| { | |
| "id": "site_c8e160bfcf", | |
| "title": "Gradient Descent Finds Global Minima of Deep Neural Networks", | |
| "author": "Simon Du, Jason Lee, Haochuan Li, Liwei Wang, Xiyu Zhai", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3786" | |
| }, | |
| { | |
| "id": "site_2475fbb491", | |
| "title": "Graph Convolutional Gaussian Processes", | |
| "author": "Ian Walker, Ben Glocker", | |
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| "site": "https://icml.cc/virtual/2019/poster/4019" | |
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| { | |
| "id": "site_9c89f28af5", | |
| "title": "Graph Element Networks: adaptive, structured computation and memory", | |
| "author": "Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauza Villalonga, Alberto Rodriguez, Tomas Lozano-Perez, Leslie Kaelbling", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3979" | |
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| { | |
| "id": "site_c1365e14e0", | |
| "title": "Graph Matching Networks for Learning the Similarity of Graph Structured Objects", | |
| "author": "Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4018" | |
| }, | |
| { | |
| "id": "site_790efaff55", | |
| "title": "Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance", | |
| "author": "Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Juhan Nam", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4004" | |
| }, | |
| { | |
| "id": "site_71244fb92b", | |
| "title": "Graph Resistance and Learning from Pairwise Comparisons", | |
| "author": "Julien Hendrickx, Alex Olshevsky, Venkatesh Saligrama", | |
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| "site": "https://icml.cc/virtual/2019/poster/4120" | |
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| { | |
| "id": "site_44535e01ac", | |
| "title": "Graph U-Nets", | |
| "author": "Hongyang Gao, Shuiwang Ji", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3676" | |
| }, | |
| { | |
| "id": "site_9952c8cbe0", | |
| "title": "Graphical-model based estimation and inference for differential privacy", | |
| "author": "Ryan McKenna, Daniel Sheldon, Gerome Miklau", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3639" | |
| }, | |
| { | |
| "id": "site_8b86d7fefb", | |
| "title": "Graphite: Iterative Generative Modeling of Graphs", | |
| "author": "Aditya Grover, Aaron Zweig, Stefano Ermon", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4008" | |
| }, | |
| { | |
| "id": "site_404402679a", | |
| "title": "Greedy Layerwise Learning Can Scale To ImageNet", | |
| "author": "Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3588" | |
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| { | |
| "id": "site_0efdff2ebf", | |
| "title": "Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization", | |
| "author": "Kai Zhang, Sheng Zhang, Jun Liu, Jun Wang, Jie Zhang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3663" | |
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| { | |
| "id": "site_5ba65ce9a3", | |
| "title": "Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI", | |
| "author": "Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3838" | |
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| { | |
| "id": "site_3414d1b575", | |
| "title": "Gromov-Wasserstein Learning for Graph Matching and Node Embedding", | |
| "author": "Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3845" | |
| }, | |
| { | |
| "id": "site_5aec1f8c4c", | |
| "title": "Guarantees for Spectral Clustering with Fairness Constraints", | |
| "author": "Matth\u00e4us Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4249" | |
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| { | |
| "id": "site_c68bded020", | |
| "title": "Guided evolutionary strategies: augmenting random search with surrogate gradients", | |
| "author": "Niru Maheswaranathan, Luke Metz, George Tucker, Dami Choi, Jascha Sohl-Dickstein", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3975" | |
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| { | |
| "id": "site_cea19936c0", | |
| "title": "HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving", | |
| "author": "Kshitij Bansal, Sarah Loos, Markus Rabe, Christian Szegedy, Stewart Wilcox", | |
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| "site": "https://icml.cc/virtual/2019/poster/3906" | |
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| { | |
| "id": "site_d004460ed3", | |
| "title": "Hessian Aided Policy Gradient", | |
| "author": "Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4137" | |
| }, | |
| { | |
| "id": "site_8d9d4dca37", | |
| "title": "Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin", | |
| "author": "Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4036" | |
| }, | |
| { | |
| "id": "site_9c61ed0d8b", | |
| "title": "HexaGAN: Generative Adversarial Nets for Real World Classification", | |
| "author": "Uiwon Hwang, Dahuin Jung, Sungroh Yoon", | |
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| "site": "https://icml.cc/virtual/2019/poster/3594" | |
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| { | |
| "id": "site_508183186f", | |
| "title": "Hierarchical Decompositional Mixtures of Variational Autoencoders", | |
| "author": "Ping Liang Tan, Robert Peharz", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4034" | |
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| { | |
| "id": "site_b14230cb35", | |
| "title": "Hierarchical Importance Weighted Autoencoders", | |
| "author": "Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron Courville", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4323" | |
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| { | |
| "id": "site_149cc8a0be", | |
| "title": "Hierarchically Structured Meta-learning", | |
| "author": "Huaxiu Yao, Ying WEI, Junzhou Huang, Zhenhui (Jessie) Li", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3627" | |
| }, | |
| { | |
| "id": "site_0c294facb2", | |
| "title": "High-Fidelity Image Generation With Fewer Labels", | |
| "author": "Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4273" | |
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| { | |
| "id": "site_b8e48f98c3", | |
| "title": "Hiring Under Uncertainty", | |
| "author": "Manish Purohit, Sreenivas Gollapudi, Manish Raghavan", | |
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| "site": "https://icml.cc/virtual/2019/poster/4304" | |
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| { | |
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| "title": "Homomorphic Sensing", | |
| "author": "Manolis Tsakiris, Liangzu Peng", | |
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| "site": "https://icml.cc/virtual/2019/poster/3741" | |
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| { | |
| "id": "site_7dde455ac0", | |
| "title": "How does Disagreement Help Generalization against Label Corruption?", | |
| "author": "Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor Tsang, Masashi Sugiyama", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3772" | |
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| { | |
| "id": "site_619b25ac22", | |
| "title": "Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops", | |
| "author": "Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Kalai", | |
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| "site": "https://icml.cc/virtual/2019/poster/3915" | |
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| { | |
| "id": "site_762a48618a", | |
| "title": "Hybrid Models with Deep and Invertible Features", | |
| "author": "Eric Nalisnick, Akihiro Matsukawa, Yee-Whye Teh, Dilan Gorur, Balaji Lakshminarayanan", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4312" | |
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| { | |
| "id": "site_5fbf524900", | |
| "title": "HyperGAN: A Generative Model for Diverse, Performant Neural Networks", | |
| "author": "Neale Ratzlaff, Fuxin Li", | |
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| { | |
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| "title": "Hyperbolic Disk Embeddings for Directed Acyclic Graphs", | |
| "author": "Ryota Suzuki, Ryusuke Takahama, Shun Onoda", | |
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| { | |
| "id": "site_153dbc21a4", | |
| "title": "IMEXnet - A Forward Stable Deep Neural Network", | |
| "author": "Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto", | |
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| { | |
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| "title": "Imitating Latent Policies from Observation", | |
| "author": "Ashley Edwards, Himanshu Sahni, Yannick Schroecker, Charles Isbell", | |
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| { | |
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| "title": "Imitation Learning from Imperfect Demonstration", | |
| "author": "Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama", | |
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| { | |
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| "title": "Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition", | |
| "author": "Yao Qin, Nicholas Carlini, Garrison Cottrell, Ian Goodfellow, Colin Raffel", | |
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| { | |
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| "title": "Importance Sampling Policy Evaluation with an Estimated Behavior Policy", | |
| "author": "Josiah Hanna, Scott Niekum, Peter Stone", | |
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| { | |
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| "title": "Improved Convergence for $\\ell_1$ and $\\ell_\\infty$ Regression via Iteratively Reweighted Least Squares", | |
| "author": "Alina Ene, Adrian Vladu", | |
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| { | |
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| "title": "Improved Dynamic Graph Learning through Fault-Tolerant Sparsification", | |
| "author": "Chunjiang Zhu, Sabine Storandt, Kam-Yiu Lam, Song Han, Jinbo Bi", | |
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| { | |
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| "title": "Improved Parallel Algorithms for Density-Based Network Clustering", | |
| "author": "Mohsen Ghaffari, Silvio Lattanzi, Slobodan Mitrovi\u0107", | |
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| { | |
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| "title": "Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization", | |
| "author": "Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin LIANG", | |
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| { | |
| "id": "site_c2770e2660", | |
| "title": "Improving Adversarial Robustness via Promoting Ensemble Diversity", | |
| "author": "Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu", | |
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| "site": "https://icml.cc/virtual/2019/poster/3614" | |
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| { | |
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| "title": "Improving Model Selection by Employing the Test Data", | |
| "author": "Max Westphal, Werner Brannath", | |
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| { | |
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| "title": "Improving Neural Language Modeling via Adversarial Training", | |
| "author": "Dilin Wang, Chengyue Gong, Qiang Liu", | |
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| "site": "https://icml.cc/virtual/2019/poster/3888" | |
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| { | |
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| "title": "Improving Neural Network Quantization without Retraining using Outlier Channel Splitting", | |
| "author": "Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3981" | |
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| { | |
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| "title": "Imputing Missing Events in Continuous-Time Event Streams", | |
| "author": "Hongyuan Mei, Guanghui Qin, Jason Eisner", | |
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| { | |
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| "title": "Incorporating Grouping Information into Bayesian Decision Tree Ensembles", | |
| "author": "JUNLIANG DU, Antonio Linero", | |
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| { | |
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| "title": "Incremental Randomized Sketching for Online Kernel Learning", | |
| "author": "Xiao Zhang, Shizhong Liao", | |
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| "site": "https://icml.cc/virtual/2019/poster/3922" | |
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| { | |
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| "title": "Inference and Sampling of $K_{33}$-free Ising Models", | |
| "author": "Valerii Likhosherstov, Yury Maximov, Misha Chertkov", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4294" | |
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| { | |
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| "title": "Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding", | |
| "author": "Muhammad Osama, Dave Zachariah, Thomas Sch\u00f6n", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3804" | |
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| { | |
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| "title": "Infinite Mixture Prototypes for Few-shot Learning", | |
| "author": "Kelsey Allen, Evan Shelhamer, Hanul Shin, Josh Tenenbaum", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4256" | |
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| { | |
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| "title": "Information-Theoretic Considerations in Batch Reinforcement Learning", | |
| "author": "Jinglin Chen, Nan Jiang", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4162" | |
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| { | |
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| "title": "Insertion Transformer: Flexible Sequence Generation via Insertion Operations", | |
| "author": "Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4221" | |
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| { | |
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| "title": "Interpreting Adversarially Trained Convolutional Neural Networks", | |
| "author": "Tianyuan Zhang, Zhanxing Zhu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3778" | |
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| { | |
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| "title": "Invariant-Equivariant Representation Learning for Multi-Class Data", | |
| "author": "Ilya Feige", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3719" | |
| }, | |
| { | |
| "id": "site_27b34dc24c", | |
| "title": "Invertible Residual Networks", | |
| "author": "Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Joern-Henrik Jacobsen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4295" | |
| }, | |
| { | |
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| "title": "Iterative Linearized Control: Stable Algorithms and Complexity Guarantees", | |
| "author": "Vincent Roulet, Dmitriy Drusvyatskiy, Siddhartha Srinivasa, Zaid Harchaoui", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4201" | |
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| { | |
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| "title": "Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks", | |
| "author": "Charith Mendis, Alex Renda, Dr.Saman Amarasinghe, Michael Carbin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4057" | |
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| { | |
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| { | |
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| "title": "Kernel Mean Matching for Content Addressability of GANs", | |
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| "title": "Kernel Normalized Cut: a Theoretical Revisit", | |
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| "title": "LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning", | |
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| { | |
| "id": "site_c927084a2f", | |
| "title": "LIT: Learned Intermediate Representation Training for Model Compression", | |
| "author": "Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia", | |
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| "id": "site_bd1f89d607", | |
| "title": "LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations", | |
| "author": "Brian Trippe, Jonathan Huggins, Raj Agrawal, Tamara Broderick", | |
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| "id": "site_fc312b94c0", | |
| "title": "Ladder Capsule Network", | |
| "author": "Taewon Jeong, Youngmin Lee, Heeyoung Kim", | |
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| "id": "site_553bd7cb60", | |
| "title": "Large-Scale Sparse Kernel Canonical Correlation Analysis", | |
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| "title": "Latent Normalizing Flows for Discrete Sequences", | |
| "author": "Zachary Ziegler, Alexander Rush", | |
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| "title": "LatentGNN: Learning Efficient Non-local Relations for Visual Recognition", | |
| "author": "Songyang Zhang, Xuming He, Shipeng Yan", | |
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| "title": "Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting", | |
| "author": "Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong", | |
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| { | |
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| "title": "Learning Action Representations for Reinforcement Learning", | |
| "author": "Yash Chandak, Georgios Theocharous, James Kostas, Scott Jordan, Philip Thomas", | |
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| "title": "Learning Classifiers for Target Domain with Limited or No Labels", | |
| "author": "Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama", | |
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| "id": "site_995818fd2e", | |
| "title": "Learning Context-dependent Label Permutations for Multi-label Classification", | |
| "author": "Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencia, Sunghyun Park, Ruhi Sarikaya, Johannes F\u00fcrnkranz", | |
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| { | |
| "id": "site_31c83b3cd2", | |
| "title": "Learning Dependency Structures for Weak Supervision Models", | |
| "author": "Paroma Varma, Frederic Sala, Ann He, Alexander J Ratner, Christopher Re", | |
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| { | |
| "id": "site_673efcc379", | |
| "title": "Learning Discrete Structures for Graph Neural Networks", | |
| "author": "Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He", | |
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| { | |
| "id": "site_74886c2403", | |
| "title": "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement", | |
| "author": "Yeonwoo Jeong, Hyun Oh Song", | |
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| "id": "site_6a39282f50", | |
| "title": "Learning Distance for Sequences by Learning a Ground Metric", | |
| "author": "Bing Su, Ying Wu", | |
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| "title": "Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations", | |
| "author": "Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Re", | |
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| { | |
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| "title": "Learning Generative Models across Incomparable Spaces", | |
| "author": "Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka", | |
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| { | |
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| "title": "Learning Hawkes Processes Under Synchronization Noise", | |
| "author": "William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran", | |
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| "title": "Learning Latent Dynamics for Planning from Pixels", | |
| "author": "Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson", | |
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| "id": "site_d1502bebb6", | |
| "title": "Learning Linear-Quadratic Regulators Efficiently with only $\\sqrt{T}$ Regret", | |
| "author": "Alon Cohen, Tomer Koren, Yishay Mansour", | |
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| "id": "site_0017cbcbc8", | |
| "title": "Learning Models from Data with Measurement Error: Tackling Underreporting", | |
| "author": "Roy Adams, Yuelong Ji, Xiaobin Wang, Suchi Saria", | |
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| "title": "Learning Neurosymbolic Generative Models via Program Synthesis", | |
| "author": "Halley R Young, Osbert Bastani, Mayur Naik", | |
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| "title": "Learning Novel Policies For Tasks", | |
| "author": "Yunbo Zhang, Wenhao Yu, Greg Turk", | |
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| { | |
| "id": "site_9b5ecc641f", | |
| "title": "Learning Optimal Fair Policies", | |
| "author": "Razieh Nabi, Daniel Malinsky, Ilya Shpitser", | |
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| "title": "Learning Optimal Linear Regularizers", | |
| "author": "Matthew Streeter", | |
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| "title": "Learning Structured Decision Problems with Unawareness", | |
| "author": "Craig Innes, Alex Lascarides", | |
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| "title": "Learning What and Where to Transfer", | |
| "author": "Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin", | |
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| "title": "Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling", | |
| "author": "Shanshan Wu, Alexandros Dimakis, Sujay Sanghavi, Felix Xinnan Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar", | |
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| "author": "Kelvin Xu, Ellis Ratner, Anca Dragan, Sergey Levine, Chelsea Finn", | |
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| "title": "Learning and Data Selection in Big Datasets", | |
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| "author": "Li Kevin Wenliang, D.J. Sutherland, Heiko Strathmann, Arthur Gretton", | |
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| "title": "Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems", | |
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| "title": "Learning from a Learner", | |
| "author": "alexis jacq, Matthieu Geist, Ana Paiva, Olivier Pietquin", | |
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| "author": "Weiran Shen, S\u00e9bastien Lahaie, Renato Leme", | |
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| "author": "Nichita Diaconu, Daniel E Worrall", | |
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| "author": "Lingbing Guo, Zequn Sun, Wei Hu", | |
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| "title": "Learning to Groove with Inverse Sequence Transformations", | |
| "author": "Jon Gillick, Adam Roberts, Jesse Engel, Douglas Eck, David Bamman", | |
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| "title": "Learning to Infer Program Sketches", | |
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| "author": "Kaiyu Yang, Jia Deng", | |
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| "title": "Learning to bid in revenue-maximizing auctions", | |
| "author": "Thomas Nedelec, Noureddine El Karoui, Vianney Perchet", | |
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| "title": "Learning to select for a predefined ranking", | |
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| "title": "Learning with Bad Training Data via Iterative Trimmed Loss Minimization", | |
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| "title": "Learning-to-Learn Stochastic Gradient Descent with Biased Regularization", | |
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| "title": "Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction", | |
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| "title": "Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models", | |
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| "title": "Linear-Complexity Data-Parallel Earth Mover's Distance Approximations", | |
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| "title": "Lipschitz Generative Adversarial Nets", | |
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| { | |
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| "title": "Locally Private Bayesian Inference for Count Models", | |
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| { | |
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| "title": "Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation", | |
| "author": "Tahrima Rahman, Shasha Jin, Vibhav Gogate", | |
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| { | |
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| "title": "Lorentzian Distance Learning for Hyperbolic Representations", | |
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| "title": "Loss Landscapes of Regularized Linear Autoencoders", | |
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| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4260" | |
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| { | |
| "id": "site_904b457929", | |
| "title": "Lossless or Quantized Boosting with Integer Arithmetic", | |
| "author": "Richard Nock, Robert C Williamson", | |
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| "site": "https://icml.cc/virtual/2019/poster/3592" | |
| }, | |
| { | |
| "id": "site_df3cc9be00", | |
| "title": "Low Latency Privacy Preserving Inference", | |
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| "site": "https://icml.cc/virtual/2019/poster/3801" | |
| }, | |
| { | |
| "id": "site_ed7004dd34", | |
| "title": "Lower Bounds for Smooth Nonconvex Finite-Sum Optimization", | |
| "author": "Dongruo Zhou, Quanquan Gu", | |
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| { | |
| "id": "site_1c59805a60", | |
| "title": "MASS: Masked Sequence to Sequence Pre-training for Language Generation", | |
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| { | |
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| "title": "ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation", | |
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| "title": "MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means", | |
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| "title": "Making Convolutional Networks Shift-Invariant Again", | |
| "author": "Richard Zhang", | |
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| "title": "Making Decisions that Reduce Discriminatory Impacts", | |
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| "author": "Wenpin Tang", | |
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| "title": "Matrix-Free Preconditioning in Online Learning", | |
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| "title": "Maximum Entropy-Regularized Multi-Goal Reinforcement Learning", | |
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| "title": "Maximum Likelihood Estimation for Learning Populations of Parameters", | |
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| "title": "MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization", | |
| "author": "Eric Chu, Peter Liu", | |
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| "title": "Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians", | |
| "author": "Vardan Papyan", | |
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| "title": "Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications", | |
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| "title": "Meta-Learning Neural Bloom Filters", | |
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| "title": "Metric-Optimized Example Weights", | |
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| "title": "MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement", | |
| "author": "Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin", | |
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| "title": "Metropolis-Hastings Generative Adversarial Networks", | |
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| "title": "Minimal Achievable Sufficient Statistic Learning", | |
| "author": "Milan Cvitkovic, G\u00fcnther Koliander", | |
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| "title": "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing", | |
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| "title": "Model Comparison for Semantic Grouping", | |
| "author": "Francisco Vargas, Kamen Brestnichki, Nils Hammerla", | |
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| "title": "Model Function Based Conditional Gradient Method with Armijo-like Line Search", | |
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| "title": "Model-Based Active Exploration", | |
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| "title": "Molecular Hypergraph Grammar with Its Application to Molecular Optimization", | |
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| "title": "Moment-Based Variational Inference for Markov Jump Processes", | |
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| "title": "Monge blunts Bayes: Hardness Results for Adversarial Training", | |
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| "title": "More Efficient Off-Policy Evaluation through Regularized Targeted Learning", | |
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| "title": "Multi-Agent Adversarial Inverse Reinforcement Learning", | |
| "author": "Lantao Yu, Jiaming Song, Stefano Ermon", | |
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| "title": "Multi-Frequency Phase Synchronization", | |
| "author": "Tingran Gao, Zhizhen Zhao", | |
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| "title": "Multi-Frequency Vector Diffusion Maps", | |
| "author": "Yifeng Fan, Zhizhen Zhao", | |
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| "title": "Multi-Object Representation Learning with Iterative Variational Inference", | |
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| "title": "Multi-objective training of Generative Adversarial Networks with multiple discriminators", | |
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| "title": "Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always", | |
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| "title": "Multivariate Submodular Optimization", | |
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| "title": "Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments", | |
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| "title": "NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks", | |
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| "title": "Neural Collaborative Subspace Clustering", | |
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| "title": "Neural Joint Source-Channel Coding", | |
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| "author": "zhengyao jiang, Shan Luo", | |
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| "title": "Neurally-Guided Structure Inference", | |
| "author": "Sidi Lu, Jiayuan Mao, Josh Tenenbaum, Jiajun Wu", | |
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| "title": "Noisy Dual Principal Component Pursuit", | |
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| "title": "Non-Monotonic Sequential Text Generation", | |
| "author": "Sean Welleck, Kiante Brantley, Hal Daum\u00e9 III, Kyunghyun Cho", | |
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| "title": "Non-Parametric Priors For Generative Adversarial Networks", | |
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| "title": "Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity", | |
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| { | |
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| "title": "Nonconvex Variance Reduced Optimization with Arbitrary Sampling", | |
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| "site": "https://icml.cc/virtual/2019/poster/3831" | |
| }, | |
| { | |
| "id": "site_6398a6a959", | |
| "title": "Nonlinear Distributional Gradient Temporal-Difference Learning", | |
| "author": "chao qu, Shie Mannor, Huan Xu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3628" | |
| }, | |
| { | |
| "id": "site_903bc4b088", | |
| "title": "Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models", | |
| "author": "Dilin Wang, Qiang Liu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3886" | |
| }, | |
| { | |
| "id": "site_47970581fd", | |
| "title": "Nonparametric Bayesian Deep Networks with Local Competition", | |
| "author": "Konstantinos Panousis, Sotirios Chatzis, Sergios Theodoridis", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3879" | |
| }, | |
| { | |
| "id": "site_aba8a39b87", | |
| "title": "Obtaining Fairness using Optimal Transport Theory", | |
| "author": "Paula Gordaliza, Eustasio del Barrio, Gamboa Fabrice, Loubes Jean-Michel", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4010" | |
| }, | |
| { | |
| "id": "site_fd28569ccc", | |
| "title": "Off-Policy Deep Reinforcement Learning without Exploration", | |
| "author": "Scott Fujimoto, David Meger, Doina Precup", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3655" | |
| }, | |
| { | |
| "id": "site_a8eacf743f", | |
| "title": "On Certifying Non-Uniform Bounds against Adversarial Attacks", | |
| "author": "Chen Liu, Ryota Tomioka, Volkan Cevher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4033" | |
| }, | |
| { | |
| "id": "site_03e187b589", | |
| "title": "On Connected Sublevel Sets in Deep Learning", | |
| "author": "Quynh Nguyen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4246" | |
| }, | |
| { | |
| "id": "site_bde601ec24", | |
| "title": "On Dropout and Nuclear Norm Regularization", | |
| "author": "Poorya Mianjy, Raman Arora", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4173" | |
| }, | |
| { | |
| "id": "site_c1cfa29582", | |
| "title": "On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms", | |
| "author": "Tianyi Lin, Nhat Ho, Michael Jordan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3800" | |
| }, | |
| { | |
| "id": "site_5672eeb0bf", | |
| "title": "On Learning Invariant Representations for Domain Adaptation", | |
| "author": "Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoff Gordon", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4264" | |
| }, | |
| { | |
| "id": "site_f33066ba9c", | |
| "title": "On Medians of (Randomized) Pairwise Means", | |
| "author": "Stephan Clemencon, Pierre Laforgue, Patrice Bertail", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3669" | |
| }, | |
| { | |
| "id": "site_d2015b94aa", | |
| "title": "On Scalable and Efficient Computation of Large Scale Optimal Transport", | |
| "author": "Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3918" | |
| }, | |
| { | |
| "id": "site_e1c48f83f9", | |
| "title": "On Sparse Linear Regression in the Local Differential Privacy Model", | |
| "author": "Di Wang, Jinhui Xu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3642" | |
| }, | |
| { | |
| "id": "site_36cd29e968", | |
| "title": "On Symmetric Losses for Learning from Corrupted Labels", | |
| "author": "Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3697" | |
| }, | |
| { | |
| "id": "site_98b245e5fb", | |
| "title": "On The Power of Curriculum Learning in Training Deep Networks", | |
| "author": "Guy Hacohen, Daphna Weinshall", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3720" | |
| }, | |
| { | |
| "id": "site_0abe00f3a7", | |
| "title": "On Variational Bounds of Mutual Information", | |
| "author": "Ben Poole, Sherjil Ozair, A\u00e4ron van den Oord, Alexander Alemi, George Tucker", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4330" | |
| }, | |
| { | |
| "id": "site_5f793c1bd0", | |
| "title": "On discriminative learning of prediction uncertainty", | |
| "author": "Vojtech Franc, Daniel Prusa", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4098" | |
| }, | |
| { | |
| "id": "site_b269a17373", | |
| "title": "On the Complexity of Approximating Wasserstein Barycenters", | |
| "author": "Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel Dvurechenskii, Alexander Gasnikov, Cesar Uribe", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4071" | |
| }, | |
| { | |
| "id": "site_7dddfac6f4", | |
| "title": "On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization", | |
| "author": "Hao Yu, rong jin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3781" | |
| }, | |
| { | |
| "id": "site_ef1a717232", | |
| "title": "On the Connection Between Adversarial Robustness and Saliency Map Interpretability", | |
| "author": "Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Sch\u00f6nlieb", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4176" | |
| }, | |
| { | |
| "id": "site_14218b96e0", | |
| "title": "On the Convergence and Robustness of Adversarial Training", | |
| "author": "Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3680" | |
| }, | |
| { | |
| "id": "site_d7e92d9448", | |
| "title": "On the Design of Estimators for Bandit Off-Policy Evaluation", | |
| "author": "Nikos Vlassis, Aurelien Bibaut, Maria Dimakopoulou, Tony Jebara", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4218" | |
| }, | |
| { | |
| "id": "site_1758a76fba", | |
| "title": "On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference", | |
| "author": "Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca Dragan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4315" | |
| }, | |
| { | |
| "id": "site_8df678deb8", | |
| "title": "On the Generalization Gap in Reparameterizable Reinforcement Learning", | |
| "author": "Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4206" | |
| }, | |
| { | |
| "id": "site_0eb20c8516", | |
| "title": "On the Impact of the Activation function on Deep Neural Networks Training", | |
| "author": "Soufiane Hayou, Arnaud Doucet, Judith Rousseau", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3911" | |
| }, | |
| { | |
| "id": "site_77f048648f", | |
| "title": "On the Limitations of Representing Functions on Sets", | |
| "author": "Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A Osborne", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4106" | |
| }, | |
| { | |
| "id": "site_0144b35a8f", | |
| "title": "On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization", | |
| "author": "Hao Yu, rong jin, Sen Yang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3779" | |
| }, | |
| { | |
| "id": "site_cbe019095a", | |
| "title": "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning", | |
| "author": "Hoda Heidari, Vedant Nanda, Krishna Gummadi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3998" | |
| }, | |
| { | |
| "id": "site_8fad1b8af8", | |
| "title": "On the Spectral Bias of Neural Networks", | |
| "author": "Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio, Aaron Courville", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4226" | |
| }, | |
| { | |
| "id": "site_eedda8524b", | |
| "title": "On the Universality of Invariant Networks", | |
| "author": "Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3813" | |
| }, | |
| { | |
| "id": "site_f7331a6bdd", | |
| "title": "On the statistical rate of nonlinear recovery in generative models with heavy-tailed data", | |
| "author": "Xiaohan Wei, Zhuoran Yang, Zhaoran Wang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3990" | |
| }, | |
| { | |
| "id": "site_d5c2bb1028", | |
| "title": "Online Adaptive Principal Component Analysis and Its extensions", | |
| "author": "Jianjun Yuan, Andrew Lamperski", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3705" | |
| }, | |
| { | |
| "id": "site_8f70088bbd", | |
| "title": "Online Algorithms for Rent-Or-Buy with Expert Advice", | |
| "author": "Sreenivas Gollapudi, Debmalya Panigrahi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4288" | |
| }, | |
| { | |
| "id": "site_52c25900c7", | |
| "title": "Online Control with Adversarial Disturbances", | |
| "author": "Naman Agarwal, Brian Bullins, Elad Hazan, Sham Kakade, Karan Singh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4313" | |
| }, | |
| { | |
| "id": "site_3f6e492207", | |
| "title": "Online Convex Optimization in Adversarial Markov Decision Processes", | |
| "author": "Aviv Rosenberg, Yishay Mansour", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3679" | |
| }, | |
| { | |
| "id": "site_41dc419f5b", | |
| "title": "Online Learning to Rank with Features", | |
| "author": "Shuai Li, Tor Lattimore, Csaba Szepesvari", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3782" | |
| }, | |
| { | |
| "id": "site_579a0484f8", | |
| "title": "Online Learning with Sleeping Experts and Feedback Graphs", | |
| "author": "Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4151" | |
| }, | |
| { | |
| "id": "site_2ca6d148cd", | |
| "title": "Online Meta-Learning", | |
| "author": "Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4195" | |
| }, | |
| { | |
| "id": "site_2acbeb026e", | |
| "title": "Online Variance Reduction with Mixtures", | |
| "author": "Zal\u00e1n Borsos, Sebastian Curi, Yehuda Levy, Andreas Krause", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3739" | |
| }, | |
| { | |
| "id": "site_3d2e1b7cfd", | |
| "title": "Online learning with kernel losses", | |
| "author": "Niladri Chatterji, Aldo Pacchiano, Peter Bartlett", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4222" | |
| }, | |
| { | |
| "id": "site_f28f8192c2", | |
| "title": "Open Vocabulary Learning on Source Code with a Graph-Structured Cache", | |
| "author": "Milan Cvitkovic, Badal Singh, Anima Anandkumar", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4178" | |
| }, | |
| { | |
| "id": "site_06097db944", | |
| "title": "Open-ended learning in symmetric zero-sum games", | |
| "author": "David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Perolat, Max Jaderberg, Thore Graepel", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4161" | |
| }, | |
| { | |
| "id": "site_35c2825380", | |
| "title": "Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards", | |
| "author": "Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3798" | |
| }, | |
| { | |
| "id": "site_18ff9770e9", | |
| "title": "Optimal Auctions through Deep Learning", | |
| "author": "Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David Parkes, Sai Srivatsa Ravindranath", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3967" | |
| }, | |
| { | |
| "id": "site_79aee7027f", | |
| "title": "Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference", | |
| "author": "Yatao Bian, Joachim Buhmann, Andreas Krause", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4006" | |
| }, | |
| { | |
| "id": "site_e7fe71833c", | |
| "title": "Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning", | |
| "author": "Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika, Anders Martinsson, Angelika Steger", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3880" | |
| }, | |
| { | |
| "id": "site_4b0175f4b4", | |
| "title": "Optimal Mini-Batch and Step Sizes for SAGA", | |
| "author": "Nidham Gazagnadou, Robert Gower, Joseph Salmon", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4142" | |
| }, | |
| { | |
| "id": "site_f2b77fb86c", | |
| "title": "Optimal Minimal Margin Maximization with Boosting", | |
| "author": "Alexander Mathiasen, Kasper Green Larsen, Allan Gr\u00f8nlund", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3731" | |
| }, | |
| { | |
| "id": "site_b3a063fe37", | |
| "title": "Optimal Transport for structured data with application on graphs", | |
| "author": "Titouan Vayer, Nicolas Courty, Romain Tavenard, Chapel Laetitia, Remi Flamary", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4110" | |
| }, | |
| { | |
| "id": "site_b146c3a857", | |
| "title": "Optimality Implies Kernel Sum Classifiers are Statistically Efficient", | |
| "author": "Raphael Meyer, Jean Honorio", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4299" | |
| }, | |
| { | |
| "id": "site_72a61ae23e", | |
| "title": "Optimistic Policy Optimization via Multiple Importance Sampling", | |
| "author": "Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4049" | |
| }, | |
| { | |
| "id": "site_24b3f0124a", | |
| "title": "Orthogonal Random Forest for Causal Inference", | |
| "author": "Miruna Oprescu, Vasilis Syrgkanis, Steven Wu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4078" | |
| }, | |
| { | |
| "id": "site_ff0ca42288", | |
| "title": "Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models", | |
| "author": "Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl E Rasmussen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4134" | |
| }, | |
| { | |
| "id": "site_2791946481", | |
| "title": "Overcoming Multi-model Forgetting", | |
| "author": "Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3710" | |
| }, | |
| { | |
| "id": "site_55ffe8b053", | |
| "title": "Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?", | |
| "author": "Samet Oymak, Mahdi Soltanolkotabi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3700" | |
| }, | |
| { | |
| "id": "site_628a7a8af2", | |
| "title": "PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization", | |
| "author": "Songtao Lu, Mingyi Hong, Zhengdao Wang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4138" | |
| }, | |
| { | |
| "id": "site_0fae692388", | |
| "title": "PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits", | |
| "author": "Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3895" | |
| }, | |
| { | |
| "id": "site_9cf6797e59", | |
| "title": "PAC Learnability of Node Functions in Networked Dynamical Systems", | |
| "author": "Abhijin Adiga, Chris J Kuhlman, Madhav Marathe, S. S. Ravi, Anil Vullikanti", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4122" | |
| }, | |
| { | |
| "id": "site_a3bce7a129", | |
| "title": "POLITEX: Regret Bounds for Policy Iteration using Expert Prediction", | |
| "author": "Yasin Abbasi-Yadkori, Peter Bartlett, Kush Bhatia, Nevena Lazic, Csaba Szepesvari, Gell\u00e9rt Weisz", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3753" | |
| }, | |
| { | |
| "id": "site_c00d9256fc", | |
| "title": "POPQORN: Quantifying Robustness of Recurrent Neural Networks", | |
| "author": "CHING-YUN KO, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3701" | |
| }, | |
| { | |
| "id": "site_a854d327d6", | |
| "title": "PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach", | |
| "author": "Tsui-Wei Weng, Pin-Yu Chen, Lam Nguyen, Mark Squillante, Akhilan Boopathy, Ivan Oseledets, Luca Daniel", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4021" | |
| }, | |
| { | |
| "id": "site_cf13186da6", | |
| "title": "Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization", | |
| "author": "Hesham Mostafa, Xin Wang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3692" | |
| }, | |
| { | |
| "id": "site_c7e9cda4eb", | |
| "title": "Parameter-Efficient Transfer Learning for NLP", | |
| "author": "Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly", | |
| "status": "Oral", | |
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| }, | |
| { | |
| "id": "site_afbff682d0", | |
| "title": "Pareto Optimal Streaming Unsupervised Classification", | |
| "author": "Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3912" | |
| }, | |
| { | |
| "id": "site_e820747de9", | |
| "title": "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization", | |
| "author": "Seungyong Moon, Gaon An, Hyun Oh Song", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4042" | |
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| { | |
| "id": "site_054c5b4323", | |
| "title": "Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation", | |
| "author": "Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4054" | |
| }, | |
| { | |
| "id": "site_771e42ad98", | |
| "title": "Partially Linear Additive Gaussian Graphical Models", | |
| "author": "Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo", | |
| "status": "Oral", | |
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| { | |
| "id": "site_92a0b7fa11", | |
| "title": "Particle Flow Bayes' Rule", | |
| "author": "Xinshi Chen, Hanjun Dai, Le Song", | |
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| { | |
| "id": "site_cb37f77c3d", | |
| "title": "Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models", | |
| "author": "Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborova", | |
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| { | |
| "id": "site_47a85cb5ce", | |
| "title": "Per-Decision Option Discounting", | |
| "author": "Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowe, Doina Precup", | |
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| "title": "Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!", | |
| "author": "Niels Ipsen, Lars Kai Hansen", | |
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| { | |
| "id": "site_7473fe91d3", | |
| "title": "Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements", | |
| "author": "Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani", | |
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| "id": "site_4ab7cf7f67", | |
| "title": "Plug-and-Play Methods Provably Converge with Properly Trained Denoisers", | |
| "author": "Ernest Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin", | |
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| "title": "Poission Subsampled R\\'enyi Differential Privacy", | |
| "author": "Yuqing Zhu, Yu-Xiang Wang", | |
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| "id": "site_0d4abd0ca6", | |
| "title": "Policy Certificates: Towards Accountable Reinforcement Learning", | |
| "author": "Christoph Dann, Lihong Li, Wei Wei, Emma Brunskill", | |
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| { | |
| "id": "site_39dcee891f", | |
| "title": "Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules", | |
| "author": "Daniel Ho, Eric Liang, Peter Chen, Ion Stoica, Pieter Abbeel", | |
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| { | |
| "id": "site_060e701d80", | |
| "title": "Position-aware Graph Neural Networks", | |
| "author": "Jiaxuan You, Rex (Zhitao) Ying, Jure Leskovec", | |
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| "title": "Power k-Means Clustering", | |
| "author": "Jason Xu, Kenneth Lange", | |
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| "title": "Predicate Exchange: Inference with Declarative Knowledge", | |
| "author": "Zenna Tavares, Javier Burroni, Edgar Minasyan, Armando Solar-Lezama, Rajesh Ranganath", | |
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| "id": "site_cd404110ce", | |
| "title": "Predictor-Corrector Policy Optimization", | |
| "author": "Ching-An Cheng, Xinyan Yan, Nathan Ratliff, Byron Boots", | |
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| "id": "site_f2c072ed03", | |
| "title": "Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering", | |
| "author": "Shanmukha Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh", | |
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| "id": "site_1876fb3ac6", | |
| "title": "Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning", | |
| "author": "Casey Chu, Jose Blanchet, Peter Glynn", | |
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| "title": "Processing Megapixel Images with Deep Attention-Sampling Models", | |
| "author": "Angelos Katharopoulos, Francois Fleuret", | |
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| "id": "site_7c7d48c70b", | |
| "title": "Projection onto Minkowski Sums with Application to Constrained Learning", | |
| "author": "Joong-Ho (Johann) Won, Jason Xu, Kenneth Lange", | |
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| { | |
| "id": "site_c2d565330f", | |
| "title": "Projections for Approximate Policy Iteration Algorithms", | |
| "author": "Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann", | |
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| { | |
| "id": "site_399e5bc63a", | |
| "title": "Proportionally Fair Clustering", | |
| "author": "Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala", | |
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| "title": "Provable Guarantees for Gradient-Based Meta-Learning", | |
| "author": "Nina Balcan, Mikhail Khodak, Ameet Talwalkar", | |
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| "title": "Provably Efficient Imitation Learning from Observation Alone", | |
| "author": "Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell", | |
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| "title": "Provably Efficient Maximum Entropy Exploration", | |
| "author": "Elad Hazan, Sham Kakade, Karan Singh, Abby Van Soest", | |
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| "title": "Provably efficient RL with Rich Observations via Latent State Decoding", | |
| "author": "Simon Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miroslav Dudik, John Langford", | |
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| "title": "QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning", | |
| "author": "Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Earl Hostallero, Yung Yi", | |
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| "title": "Quantifying Generalization in Reinforcement Learning", | |
| "author": "Karl Cobbe, Oleg Klimov, Chris Hesse, Taehoon Kim, John Schulman", | |
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| "title": "Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization", | |
| "author": "Chengyue Gong, Jian Peng, Qiang Liu", | |
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| "title": "RaFM: Rank-Aware Factorization Machines", | |
| "author": "Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang", | |
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| "title": "Rademacher Complexity for Adversarially Robust Generalization", | |
| "author": "Dong Yin, Kannan Ramchandran, Peter Bartlett", | |
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| "title": "Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation", | |
| "author": "Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris", | |
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| "title": "Random Function Priors for Correlation Modeling", | |
| "author": "Aonan Zhang, John Paisley", | |
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| "title": "Random Matrix Improved Covariance Estimation for a Large Class of Metrics", | |
| "author": "Malik TIOMOKO A, Romain Couillet, Florent BOUCHARD, Guillaume GINOLHAC", | |
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| "author": "Jeff HaoChen, Suvrit Sra", | |
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| "title": "Rao-Blackwellized Stochastic Gradients for Discrete Distributions", | |
| "author": "Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael Jordan, Jon McAuliffe", | |
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| "title": "Rate Distortion For Model Compression:From Theory To Practice", | |
| "author": "Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh", | |
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| "title": "Rates of Convergence for Sparse Variational Gaussian Process Regression", | |
| "author": "David Burt, Carl E Rasmussen, Mark van der Wilk", | |
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| "title": "Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces", | |
| "author": "Philipp Becker, Harit Pandya, Gregor Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann", | |
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| "title": "Recursive Sketches for Modular Deep Learning", | |
| "author": "Badih Ghazi, Rina Panigrahy, Joshua R. Wang", | |
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| "author": "Gabriele Farina, Christian Kroer, Tuomas Sandholm", | |
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| "author": "Jan Malte Lichtenberg, Ozgur Simsek", | |
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| "title": "Reinforcement Learning in Configurable Continuous Environments", | |
| "author": "Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli", | |
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| "title": "Relational Pooling for Graph Representations", | |
| "author": "Ryan Murphy, Balasubramaniam Srinivasan, Vinayak A Rao, Bruno Ribeiro", | |
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| "title": "Remember and Forget for Experience Replay", | |
| "author": "Guido Novati, Petros Koumoutsakos", | |
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| { | |
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| "title": "Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions", | |
| "author": "Hao Wang, Berk Ustun, Flavio Calmon", | |
| "status": "Oral", | |
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| "title": "Replica Conditional Sequential Monte Carlo", | |
| "author": "Alex Shestopaloff, Arnaud Doucet", | |
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| "title": "Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff", | |
| "author": "Yochai Blau, Tomer Michaeli", | |
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| "site": "https://icml.cc/virtual/2019/poster/3643" | |
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| "title": "Revisiting precision recall definition for generative modeling", | |
| "author": "Loic Simon, Ryan Webster, Julien Rabin", | |
| "status": "Oral", | |
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| "title": "Revisiting the Softmax Bellman Operator: New Benefits and New Perspective", | |
| "author": "Zhao Song, Ron Parr, Lawrence Carin", | |
| "status": "Oral", | |
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| "title": "Riemannian adaptive stochastic gradient algorithms on matrix manifolds", | |
| "author": "Hiroyuki Kasai, Pratik Kumar Jawanpuria, Bamdev Mishra", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3989" | |
| }, | |
| { | |
| "id": "site_396bc56052", | |
| "title": "Robust Decision Trees Against Adversarial Examples", | |
| "author": "Hongge Chen, Huan Zhang, Duane Boning, Cho-Jui Hsieh", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4169" | |
| }, | |
| { | |
| "id": "site_501204f308", | |
| "title": "Robust Estimation of Tree Structured Gaussian Graphical Models", | |
| "author": "Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3767" | |
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| { | |
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| "title": "Robust Inference via Generative Classifiers for Handling Noisy Labels", | |
| "author": "Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3968" | |
| }, | |
| { | |
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| "title": "Robust Influence Maximization for Hyperparametric Models", | |
| "author": "Dimitrios Kalimeris, Gal Kaplun, Yaron Singer", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3771" | |
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| { | |
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| "title": "Robust Learning from Untrusted Sources", | |
| "author": "Nikola Konstantinov, Christoph H. Lampert", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3816" | |
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| { | |
| "id": "site_c9606666be", | |
| "title": "Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness", | |
| "author": "Raphael Suter, Djordje Miladinovic, Bernhard Sch\u00f6lkopf, Stefan Bauer", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4055" | |
| }, | |
| { | |
| "id": "site_2cb0523469", | |
| "title": "Rotation Invariant Householder Parameterization for Bayesian PCA", | |
| "author": "Rajbir-Singh Nirwan, Nils Bertschinger", | |
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| }, | |
| { | |
| "id": "site_ee16e35997", | |
| "title": "SAGA with Arbitrary Sampling", | |
| "author": "Xun Qian, Zheng Qu, Peter Richtarik", | |
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| { | |
| "id": "site_0dce83b8d7", | |
| "title": "SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver", | |
| "author": "Po-Wei Wang, Priya Donti, Bryan Wilder, Zico Kolter", | |
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| { | |
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| "title": "SELFIE: Refurbishing Unclean Samples for Robust Deep Learning", | |
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| { | |
| "id": "site_beb2007a23", | |
| "title": "SGD without Replacement: Sharper Rates for General Smooth Convex Functions", | |
| "author": "Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli", | |
| "status": "Oral", | |
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| { | |
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| "title": "SGD: General Analysis and Improved Rates", | |
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| "status": "Oral", | |
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| { | |
| "id": "site_a3862cbbef", | |
| "title": "SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning", | |
| "author": "Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew Johnson, Sergey Levine", | |
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| { | |
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| "title": "SWALP : Stochastic Weight Averaging in Low Precision Training", | |
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| { | |
| "id": "site_a497ab2ee6", | |
| "title": "Safe Grid Search with Optimal Complexity", | |
| "author": "Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi", | |
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| { | |
| "id": "site_21c4825990", | |
| "title": "Safe Policy Improvement with Baseline Bootstrapping", | |
| "author": "Romain Laroche, Paul TRICHELAIR, Remi Tachet des Combes", | |
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| { | |
| "id": "site_74d5bebcac", | |
| "title": "Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization", | |
| "author": "Eldad Meller, Alexander Finkelstein, Uri Almog, Mark Grobman", | |
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| "id": "site_393d12587d", | |
| "title": "Sample-Optimal Parametric Q-Learning Using Linearly Additive Features", | |
| "author": "Lin Yang, Mengdi Wang", | |
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| "site": "https://icml.cc/virtual/2019/poster/3991" | |
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| { | |
| "id": "site_7f3e9d1a75", | |
| "title": "Scalable Fair Clustering", | |
| "author": "Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner", | |
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| { | |
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| "title": "Scalable Learning in Reproducing Kernel Krein Spaces", | |
| "author": "Dino Oglic, Thomas Gaertner", | |
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| { | |
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| "title": "Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets", | |
| "author": "Rob Cornish, Paul Vanetti, Alexandre Bouchard-C\u00f4t\u00e9, George Deligiannidis, Arnaud Doucet", | |
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| { | |
| "id": "site_be157068cb", | |
| "title": "Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap", | |
| "author": "Edwin Fong, Simon Lyddon, Christopher Holmes", | |
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| { | |
| "id": "site_68c19510e8", | |
| "title": "Scalable Training of Inference Networks for Gaussian-Process Models", | |
| "author": "Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu", | |
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| { | |
| "id": "site_0aa29e1018", | |
| "title": "Scale-free adaptive planning for deterministic dynamics & discounted rewards", | |
| "author": "Peter Bartlett, Victor Gabillon, Jennifer Healey, Michal Valko", | |
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| { | |
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| "title": "Scaling Up Ordinal Embedding: A Landmark Approach", | |
| "author": "Jesse Anderton, Javed Aslam", | |
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| { | |
| "id": "site_bf8862fb3e", | |
| "title": "Screening rules for Lasso with non-convex Sparse Regularizers", | |
| "author": "alain rakotomamonjy, Gilles Gasso, Joseph Salmon", | |
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| { | |
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| "title": "SelectiveNet: A Deep Neural Network with an Integrated Reject Option", | |
| "author": "Yonatan Geifman, Ran El-Yaniv", | |
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| { | |
| "id": "site_047e5bdf94", | |
| "title": "Self-Attention Generative Adversarial Networks", | |
| "author": "Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena", | |
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| "title": "Self-Attention Graph Pooling", | |
| "author": "Junhyun Lee, Inyeop Lee, Jaewoo Kang", | |
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| { | |
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| "title": "Self-Supervised Exploration via Disagreement", | |
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| "title": "Self-similar Epochs: Value in arrangement", | |
| "author": "Eliav Buchnik, Edith Cohen, Avinatan Hasidim, Yossi Matias", | |
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| "title": "Semi-Cyclic Stochastic Gradient Descent", | |
| "author": "Hubert Eichner, Tomer Koren, Brendan McMahan, Nati Srebro, Kunal Talwar", | |
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| { | |
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| "title": "Sensitivity Analysis of Linear Structural Causal Models", | |
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| "title": "Separable value functions across time-scales", | |
| "author": "Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill", | |
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| "title": "Sequential Facility Location: Approximate Submodularity and Greedy Algorithm", | |
| "author": "Ehsan Elhamifar", | |
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| "id": "site_320770e384", | |
| "title": "Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks", | |
| "author": "Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, Yee-Whye Teh", | |
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| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3716" | |
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| { | |
| "id": "site_bb6d2b6b81", | |
| "title": "Sever: A Robust Meta-Algorithm for Stochastic Optimization", | |
| "author": "Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3572" | |
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| { | |
| "id": "site_4ee75eaa56", | |
| "title": "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking", | |
| "author": "Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras", | |
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| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3840" | |
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| { | |
| "id": "site_7ab4849576", | |
| "title": "Shape Constraints for Set Functions", | |
| "author": "Andrew Cotter, Maya Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Wang, Tao Zhu", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4160" | |
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| { | |
| "id": "site_7f473efa5b", | |
| "title": "Similarity of Neural Network Representations Revisited", | |
| "author": "Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton", | |
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| "site": "https://icml.cc/virtual/2019/poster/4185" | |
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| { | |
| "id": "site_76f53fe1e8", | |
| "title": "Simple Black-box Adversarial Attacks", | |
| "author": "Chuan Guo, Jacob Gardner, Yurong You, Andrew Wilson, Kilian Weinberger", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3754" | |
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| { | |
| "id": "site_5c4144c0a4", | |
| "title": "Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization", | |
| "author": "Michael Metel, Akiko Takeda", | |
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| { | |
| "id": "site_e49ab850c9", | |
| "title": "Simplifying Graph Convolutional Networks", | |
| "author": "Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Weinberger", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3683" | |
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| { | |
| "id": "site_5bdad88618", | |
| "title": "Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions", | |
| "author": "Antoine Liutkus, Umut Simsekli, Szymon Majewski, Alain Durmus, Fabian-Robert St\u00f6ter", | |
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| { | |
| "id": "site_6bdfc10bd6", | |
| "title": "Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning", | |
| "author": "Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro Ortega, DJ Strouse, Joel Z Leibo, Nando de Freitas", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3608" | |
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| { | |
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| "title": "Sorting Out Lipschitz Function Approximation", | |
| "author": "Cem Anil, James Lucas, Roger Grosse", | |
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| { | |
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| "title": "Sparse Extreme Multi-label Learning with Oracle Property", | |
| "author": "Weiwei Liu, Xiaobo Shen", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3806" | |
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| { | |
| "id": "site_702fa6fda7", | |
| "title": "Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data", | |
| "author": "Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4163" | |
| }, | |
| { | |
| "id": "site_c627c8f886", | |
| "title": "Spectral Approximate Inference", | |
| "author": "Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3958" | |
| }, | |
| { | |
| "id": "site_c669462891", | |
| "title": "Spectral Clustering of Signed Graphs via Matrix Power Means", | |
| "author": "Pedro Mercado, Francesco Tudisco, Matthias Hein", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3699" | |
| }, | |
| { | |
| "id": "site_a769156973", | |
| "title": "Stable and Fair Classification", | |
| "author": "Lingxiao Huang, Nisheeth Vishnoi", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4314" | |
| }, | |
| { | |
| "id": "site_12ba75a6d4", | |
| "title": "Stable-Predictive Optimistic Counterfactual Regret Minimization", | |
| "author": "Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3839" | |
| }, | |
| { | |
| "id": "site_f004db4fb4", | |
| "title": "State-Regularized Recurrent Neural Networks", | |
| "author": "Cheng Wang, Mathias Niepert", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3704" | |
| }, | |
| { | |
| "id": "site_1fc399bdae", | |
| "title": "State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations", | |
| "author": "Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3949" | |
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| { | |
| "id": "site_46b560b134", | |
| "title": "Static Automatic Batching In TensorFlow", | |
| "author": "Ashish Agarwal", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3703" | |
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| { | |
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| "title": "Statistical Foundations of Virtual Democracy", | |
| "author": "Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel Procaccia, Christos-Alexandros Psomas", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3565" | |
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| { | |
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| "title": "Statistics and Samples in Distributional Reinforcement Learning", | |
| "author": "Mark Rowland, Robert Dadashi, Saurabh Kumar, Remi Munos, Marc Bellemare, Will Dabney", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3583" | |
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| { | |
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| "title": "Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging", | |
| "author": "Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P R Kumar", | |
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| "title": "Stein Point Markov Chain Monte Carlo", | |
| "author": "Wilson Ye Chen, Alessandro Barp, Francois-Xavier Briol, Jackson Gorham, Mark Girolami, Lester Mackey, Chris Oates", | |
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| "title": "Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement", | |
| "author": "Wouter Kool, Herke van Hoof, Max Welling", | |
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| { | |
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| "title": "Stochastic Blockmodels meet Graph Neural Networks", | |
| "author": "Nikhil Mehta, Lawrence Carin, Piyush Rai", | |
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| { | |
| "id": "site_cf3170c257", | |
| "title": "Stochastic Deep Networks", | |
| "author": "Gwendoline De Bie, Gabriel Peyr\u00e9, Marco Cuturi", | |
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| { | |
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| "title": "Stochastic Gradient Push for Distributed Deep Learning", | |
| "author": "Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael Rabbat", | |
| "status": "Oral", | |
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| { | |
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| "title": "Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization", | |
| "author": "Baojian Zhou, Feng Chen, Yiming Ying", | |
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| "title": "Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence", | |
| "author": "Yi Xu, Qi Qi, Qihang Lin, rong jin, Tianbao Yang", | |
| "status": "Oral", | |
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| { | |
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| "title": "Structured agents for physical construction", | |
| "author": "Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly Stachenfeld, Pushmeet Kohli, Peter Battaglia, Jessica Hamrick", | |
| "status": "Oral", | |
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| { | |
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| "title": "Sublinear Space Private Algorithms Under the Sliding Window Model", | |
| "author": "Jalaj Upadhyay", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3867" | |
| }, | |
| { | |
| "id": "site_ec6ad629ad", | |
| "title": "Sublinear Time Nearest Neighbor Search over Generalized Weighted Space", | |
| "author": "Yifan Lei, Qiang Huang, Mohan Kankanhalli, Anthony Tung", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3631" | |
| }, | |
| { | |
| "id": "site_6b576c01ff", | |
| "title": "Sublinear quantum algorithms for training linear and kernel-based classifiers", | |
| "author": "Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3977" | |
| }, | |
| { | |
| "id": "site_1781212161", | |
| "title": "Submodular Cost Submodular Cover with an Approximate Oracle", | |
| "author": "Victoria Crawford, Alan Kuhnle, My T Thai", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3591" | |
| }, | |
| { | |
| "id": "site_d8e7616287", | |
| "title": "Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications", | |
| "author": "Christopher Harshaw, Moran Feldman, Justin Ward, Amin Karbasi", | |
| "status": "Oral", | |
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| }, | |
| { | |
| "id": "site_8f13b861b1", | |
| "title": "Submodular Observation Selection and Information Gathering for Quadratic Models", | |
| "author": "Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu", | |
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| { | |
| "id": "site_eecc8cc779", | |
| "title": "Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity", | |
| "author": "Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi", | |
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| }, | |
| { | |
| "id": "site_09cc3e8c59", | |
| "title": "Subspace Robust Wasserstein Distances", | |
| "author": "Fran\u00e7ois-Pierre Paty, Marco Cuturi", | |
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| { | |
| "id": "site_849d14cf17", | |
| "title": "Sum-of-Squares Polynomial Flow", | |
| "author": "Priyank Jaini, Kira A. Selby, Yaoliang Yu", | |
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| { | |
| "id": "site_51e4f3afa9", | |
| "title": "Supervised Hierarchical Clustering with Exponential Linkage", | |
| "author": "Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum", | |
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| { | |
| "id": "site_d7fcb8ae20", | |
| "title": "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization", | |
| "author": "zhenxun zhuang, Ashok Cutkosky, Francesco Orabona", | |
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| "title": "Switching Linear Dynamics for Variational Bayes Filtering", | |
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| { | |
| "id": "site_b5e9c4eeaf", | |
| "title": "Taming MAML: Efficient unbiased meta-reinforcement learning", | |
| "author": "Hao Liu, Richard Socher, Caiming Xiong", | |
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| { | |
| "id": "site_99f7c50012", | |
| "title": "TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning", | |
| "author": "Sung Whan Yoon, Jun Seo, Jaekyun Moon", | |
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| { | |
| "id": "site_985e95dbd0", | |
| "title": "TarMAC: Targeted Multi-Agent Communication", | |
| "author": "Abhishek Das, Theophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat, Joelle Pineau", | |
| "status": "Oral", | |
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| { | |
| "id": "site_f34ec75bf1", | |
| "title": "Target Tracking for Contextual Bandits: Application to Demand Side Management", | |
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| "status": "Oral", | |
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| }, | |
| { | |
| "id": "site_0cdf255597", | |
| "title": "Target-Based Temporal-Difference Learning", | |
| "author": "Donghwan Lee, Niao He", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4092" | |
| }, | |
| { | |
| "id": "site_ede1a168d7", | |
| "title": "Task-Agnostic Dynamics Priors for Deep Reinforcement Learning", | |
| "author": "Yilun Du, Karthik Narasimhan", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4136" | |
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| { | |
| "id": "site_bb6ba9b388", | |
| "title": "Teaching a black-box learner", | |
| "author": "Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Jerry Zhu", | |
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| { | |
| "id": "site_273368f3db", | |
| "title": "Temporal Gaussian Mixture Layer for Videos", | |
| "author": "AJ Piergiovanni, Michael Ryoo", | |
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| { | |
| "id": "site_28cae02ba6", | |
| "title": "Tensor Variable Elimination for Plated Factor Graphs", | |
| "author": "Fritz Obermeyer, Elias Bingham, Martin Jankowiak, Neeraj Pradhan, Justin Chiu, Alexander Rush, Noah Goodman", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4278" | |
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| { | |
| "id": "site_a7944c5362", | |
| "title": "TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing", | |
| "author": "Augustus Odena, Catherine Olsson, David Andersen, Ian Goodfellow", | |
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| { | |
| "id": "site_11e56b114c", | |
| "title": "The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects", | |
| "author": "Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma", | |
| "status": "Oral", | |
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| { | |
| "id": "site_8fdb21ced3", | |
| "title": "The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study", | |
| "author": "Daniel Park, Jascha Sohl-Dickstein, Quoc Le, Samuel Smith", | |
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| { | |
| "id": "site_6ec9e13ff2", | |
| "title": "The Evolved Transformer", | |
| "author": "David So, Quoc Le, Chen Liang", | |
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| { | |
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| "title": "The Implicit Fairness Criterion of Unconstrained Learning", | |
| "author": "Lydia T. Liu, Max Simchowitz, Moritz Hardt", | |
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| { | |
| "id": "site_5d9bdba044", | |
| "title": "The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions", | |
| "author": "Raj Agrawal, Brian Trippe, Jonathan Huggins, Tamara Broderick", | |
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| { | |
| "id": "site_6ef456c12e", | |
| "title": "The Natural Language of Actions", | |
| "author": "Guy Tennenholtz, Shie Mannor", | |
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| { | |
| "id": "site_4e14dc01c5", | |
| "title": "The Odds are Odd: A Statistical Test for Detecting Adversarial Examples", | |
| "author": "Kevin Roth, Yannic Kilcher, Thomas Hofmann", | |
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| { | |
| "id": "site_f08adc2ea0", | |
| "title": "The Value Function Polytope in Reinforcement Learning", | |
| "author": "Robert Dadashi, Marc Bellemare, Adrien Ali Taiga, Nicolas Le Roux, Dale Schuurmans", | |
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| { | |
| "id": "site_3384e04f62", | |
| "title": "The Variational Predictive Natural Gradient", | |
| "author": "Da Tang, Rajesh Ranganath", | |
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| { | |
| "id": "site_52b2ecdb5c", | |
| "title": "The Wasserstein Transform", | |
| "author": "Facundo Memoli, Zane Smith, Zhengchao Wan", | |
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| "site": "https://icml.cc/virtual/2019/poster/3637" | |
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| { | |
| "id": "site_d7bf79b962", | |
| "title": "The advantages of multiple classes for reducing overfitting from test set reuse", | |
| "author": "Vitaly Feldman, Roy Frostig, Moritz Hardt", | |
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| { | |
| "id": "site_9a1e801138", | |
| "title": "The information-theoretic value of unlabeled data in semi-supervised learning", | |
| "author": "Alexander Golovnev, David Pal, Balazs Szorenyi", | |
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| { | |
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| "title": "Theoretically Principled Trade-off between Robustness and Accuracy", | |
| "author": "Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, Michael Jordan", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3942" | |
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| { | |
| "id": "site_52509d9b5f", | |
| "title": "TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning", | |
| "author": "Tameem Adel, Adrian Weller", | |
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| "title": "Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering", | |
| "author": "Taisuke Yasuda, David Woodruff, Manuel Fernandez", | |
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| "title": "Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds", | |
| "author": "Andrea Zanette, Emma Brunskill", | |
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| { | |
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| "title": "Topological Data Analysis of Decision Boundaries with Application to Model Selection", | |
| "author": "Karthikeyan Ramamurthy, Kush Varshney, Krishnan Mody", | |
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| "title": "Toward Controlling Discrimination in Online Ad Auctions", | |
| "author": "L. Elisa Celis, Anay Mehrotra, Nisheeth Vishnoi", | |
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| { | |
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| "title": "Toward Understanding the Importance of Noise in Training Neural Networks", | |
| "author": "Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao", | |
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| "site": "https://icml.cc/virtual/2019/poster/4316" | |
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| { | |
| "id": "site_095425ccaa", | |
| "title": "Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation", | |
| "author": "Kaichao You, Ximei Wang, Mingsheng Long, Michael Jordan", | |
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| { | |
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| "title": "Towards Understanding Knowledge Distillation", | |
| "author": "Mary Phuong, Christoph H. Lampert", | |
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| "title": "Towards a Deep and Unified Understanding of Deep Neural Models in NLP", | |
| "author": "Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie", | |
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| "title": "Towards a Unified Analysis of Random Fourier Features", | |
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| "title": "Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization", | |
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| "title": "Traditional and Heavy Tailed Self Regularization in Neural Network Models", | |
| "author": "Michael Mahoney, Charles H Martin", | |
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| "title": "Trainable Decoding of Sets of Sequences for Neural Sequence Models", | |
| "author": "Ashwin Kalyan, Peter Anderson, Stefan Lee, Dhruv Batra", | |
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| "title": "Training CNNs with Selective Allocation of Channels", | |
| "author": "Jongheon Jeong, Jinwoo Shin", | |
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| { | |
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| "title": "Training Neural Networks with Local Error Signals", | |
| "author": "Arild N\u00f8kland, Lars Hiller Eidnes", | |
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| "title": "Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints", | |
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| "title": "Trajectory-Based Off-Policy Deep Reinforcement Learning", | |
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| "title": "Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation", | |
| "author": "Shani Gamrian, Yoav Goldberg", | |
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| { | |
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| "title": "Transfer of Samples in Policy Search via Multiple Importance Sampling", | |
| "author": "Andrea Tirinzoni, Mattia Salvini, Marcello Restelli", | |
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| "title": "Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation", | |
| "author": "Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang", | |
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| { | |
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| "title": "Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers", | |
| "author": "Hong Liu, Mingsheng Long, Jianmin Wang, Michael Jordan", | |
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| "site": "https://icml.cc/virtual/2019/poster/3644" | |
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| { | |
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| "title": "Transferable Clean-Label Poisoning Attacks on Deep Neural Nets", | |
| "author": "Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein", | |
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| "title": "Trimming the $\\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning", | |
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| { | |
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| "title": "Understanding Geometry of Encoder-Decoder CNNs", | |
| "author": "Jong Chul Ye, woonkyoung Sung", | |
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| "title": "Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation", | |
| "author": "Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi", | |
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| { | |
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| "title": "Understanding MCMC Dynamics as Flows on the Wasserstein Space", | |
| "author": "Chang Liu, Jingwei Zhuo, Jun Zhu", | |
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| { | |
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| "title": "Understanding Priors in Bayesian Neural Networks at the Unit Level", | |
| "author": "Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel", | |
| "status": "Oral", | |
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| "title": "Understanding and Accelerating Particle-Based Variational Inference", | |
| "author": "Chang Liu, Jingwei Zhuo, Pengyu Cheng, RUIYI (ROY) ZHANG, Jun Zhu", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3823" | |
| }, | |
| { | |
| "id": "site_4476b097cc", | |
| "title": "Understanding and Controlling Memory in Recurrent Neural Networks", | |
| "author": "Doron Haviv, Alexander Rivkind, Omri Barak", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3902" | |
| }, | |
| { | |
| "id": "site_bc95b25a7b", | |
| "title": "Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels", | |
| "author": "Pengfei Chen, Ben Liao, Guangyong Chen, Shengyu Zhang", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3593" | |
| }, | |
| { | |
| "id": "site_477909e3c6", | |
| "title": "Understanding and correcting pathologies in the training of learned optimizers", | |
| "author": "Luke Metz, Niru Maheswaranathan, Jeremy Nixon, Daniel Freeman, Jascha Sohl-Dickstein", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3868" | |
| }, | |
| { | |
| "id": "site_fd59b5c8c9", | |
| "title": "Understanding the Impact of Entropy on Policy Optimization", | |
| "author": "Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/4104" | |
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| { | |
| "id": "site_bcfc9a48f2", | |
| "title": "Understanding the Origins of Bias in Word Embeddings", | |
| "author": "Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, Richard Zemel", | |
| "status": "Oral", | |
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| "site": "https://icml.cc/virtual/2019/poster/3620" | |
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| { | |
| "id": "site_d587cc2377", | |
| "title": "Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension", | |
| "author": "Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry Wasserman", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4108" | |
| }, | |
| { | |
| "id": "site_4d4fddfde6", | |
| "title": "Unifying Orthogonal Monte Carlo Methods", | |
| "author": "Krzysztof Choromanski, Mark Rowland, Wenyu Chen, Adrian Weller", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3580" | |
| }, | |
| { | |
| "id": "site_63a3471fce", | |
| "title": "Unreproducible Research is Reproducible", | |
| "author": "Xavier Bouthillier, C\u00e9sar Laurent, Pascal Vincent", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4177" | |
| }, | |
| { | |
| "id": "site_e7928fba69", | |
| "title": "Unsupervised Deep Learning by Neighbourhood Discovery", | |
| "author": "Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3564" | |
| }, | |
| { | |
| "id": "site_72e7c0208b", | |
| "title": "Unsupervised Label Noise Modeling and Loss Correction", | |
| "author": "Eric Arazo, Diego Ortego, Paul Albert, Noel O'Connor, Kevin McGuinness", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3738" | |
| }, | |
| { | |
| "id": "site_d11591a03a", | |
| "title": "Using Pre-Training Can Improve Model Robustness and Uncertainty", | |
| "author": "Dan Hendrycks, Kimin Lee, Mantas Mazeika", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4237" | |
| }, | |
| { | |
| "id": "site_b4e3b4f35b", | |
| "title": "Validating Causal Inference Models via Influence Functions", | |
| "author": "Ahmed Alaa, Mihaela van der Schaar", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3882" | |
| }, | |
| { | |
| "id": "site_2cefc55e6b", | |
| "title": "Variational Annealing of GANs: A Langevin Perspective", | |
| "author": "Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, RUIYI (ROY) ZHANG, Georgiy Bobashev, Lawrence Carin", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4271" | |
| }, | |
| { | |
| "id": "site_060cd5d0ff", | |
| "title": "Variational Implicit Processes", | |
| "author": "Chao Ma, Yingzhen Li, Jose Miguel Hernandez-Lobato", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4123" | |
| }, | |
| { | |
| "id": "site_7ff210c289", | |
| "title": "Variational Inference for sparse network reconstruction from count data", | |
| "author": "Julien Chiquet, Stephane Robin, Mahendra Mariadassou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3682" | |
| }, | |
| { | |
| "id": "site_86f68aa586", | |
| "title": "Variational Laplace Autoencoders", | |
| "author": "Yookoon Park, Chris Kim, Gunhee Kim", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3667" | |
| }, | |
| { | |
| "id": "site_6b890b34e5", | |
| "title": "Variational Russian Roulette for Deep Bayesian Nonparametrics", | |
| "author": "Kai Xu, Akash Srivastava, Charles Sutton", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4118" | |
| }, | |
| { | |
| "id": "site_84896affe6", | |
| "title": "Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration", | |
| "author": "Vladislav Polianskii, Florian T. Pokorny", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4132" | |
| }, | |
| { | |
| "id": "site_603a67e9ab", | |
| "title": "Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback", | |
| "author": "Chicheng Zhang, Alekh Agarwal, Hal Daum\u00e9 III, John Langford, Sahand Negahban", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3673" | |
| }, | |
| { | |
| "id": "site_9cbef9c7c5", | |
| "title": "Wasserstein Adversarial Examples via Projected Sinkhorn Iterations", | |
| "author": "Eric Wong, Frank R Schmidt, Zico Kolter", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4229" | |
| }, | |
| { | |
| "id": "site_1dee96101d", | |
| "title": "Wasserstein of Wasserstein Loss for Learning Generative Models", | |
| "author": "Yonatan Dukler, Wuchen Li, Alex Lin, Guido Montufar", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4124" | |
| }, | |
| { | |
| "id": "site_4c7fc55b9c", | |
| "title": "Weak Detection of Signal in the Spiked Wigner Model", | |
| "author": "Hye Won Chung, Ji Oon Lee", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3665" | |
| }, | |
| { | |
| "id": "site_aa3d502299", | |
| "title": "Weakly-Supervised Temporal Localization via Occurrence Count Learning", | |
| "author": "Julien Schroeter, Kirill Sidorov, David Marshall", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3674" | |
| }, | |
| { | |
| "id": "site_86b6b1325b", | |
| "title": "What is the Effect of Importance Weighting in Deep Learning?", | |
| "author": "Jonathon Byrd, Zachary Lipton", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4247" | |
| }, | |
| { | |
| "id": "site_2b19f3002f", | |
| "title": "When Samples Are Strategically Selected", | |
| "author": "Hanrui Zhang, Yu Cheng, Vincent Conitzer", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4103" | |
| }, | |
| { | |
| "id": "site_80f2d68051", | |
| "title": "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference", | |
| "author": "Alexandre Sablayrolles, Douze Matthijs, Cordelia Schmid, Yann Ollivier, Herve Jegou", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4066" | |
| }, | |
| { | |
| "id": "site_9f608c181e", | |
| "title": "Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem", | |
| "author": "Alon Brutzkus, Amir Globerson", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3884" | |
| }, | |
| { | |
| "id": "site_cbc64e805f", | |
| "title": "Width Provably Matters in Optimization for Deep Linear Neural Networks", | |
| "author": "Simon Du, Wei Hu", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4001" | |
| }, | |
| { | |
| "id": "site_c71cfcadfe", | |
| "title": "Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance", | |
| "author": "Cong Xie, Sanmi Koyejo, Indranil Gupta", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3783" | |
| }, | |
| { | |
| "id": "site_3ced01cead", | |
| "title": "Zero-Shot Knowledge Distillation in Deep Networks", | |
| "author": "Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/3836" | |
| }, | |
| { | |
| "id": "site_7e6a743493", | |
| "title": "kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection", | |
| "author": "Lotfi Slim, Cl\u00e9ment Chatelain, Chloe-Agathe Azencott, Jean-Philippe Vert", | |
| "status": "Oral", | |
| "track": "main", | |
| "site": "https://icml.cc/virtual/2019/poster/4164" | |
| } | |
| ] |