paperlists / nips /nips2007.json
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[
{
"title": "A Bayesian Framework for Cross-Situational Word-Learning",
"status": "Spotlight",
"authors": "Michael C Frank, Noah Goodman, Josh Tenenbaum"
},
{
"title": "A Bayesian LDA-based model for semi-supervised part-of-speech tagging",
"status": "Spotlight",
"authors": "Kristina N Toutanova, Mark Johnson"
},
{
"title": "A Bayesian Model of Conditioned Perception",
"status": "Poster",
"authors": "Alan A Stocker, Eero Simoncelli"
},
{
"title": "A Constraint Generation Approach to Learning Stable Linear Dynamical Systems",
"status": "Oral",
"authors": "Sajid M Siddiqi, Byron Boots, Geoffrey Gordon"
},
{
"title": "A General Boosting Method and its Application to Learning Ranking Functions for Web Search",
"status": "Poster",
"authors": "Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun"
},
{
"title": "A Kernel Statistical Test of Independence",
"status": "Spotlight",
"authors": "Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Sch\u00f6lkopf, Alexander Smola"
},
{
"title": "A Multiplicative Weights Algorithm for Apprenticeship Learning",
"status": "Oral",
"authors": "Umar Syed, Robert E Schapire"
},
{
"title": "A New View of Automatic Relevance Determination",
"status": "Poster",
"authors": "David P Wipf, Srikantan Nagarajan"
},
{
"title": "A Probabilistic Approach to Language Change",
"status": "Poster",
"authors": "Alexandre Bouchard-C\u00f4t\u00e9, Percy Liang, Tom Griffiths, Dan Klein"
},
{
"title": "A Randomized Algorithm for Large Scale Support Vector Learning",
"status": "Poster",
"authors": "Krishnan S Kumar, Chiranjib Bhattacharyya, Ramesh Hariharan"
},
{
"title": "A Risk Minimization Principle for a Class of Parzen Estimators",
"status": "Poster",
"authors": "Kristiaan Pelckmans, Johan Suykens, Bart De Moor"
},
{
"title": "A Spectral Regularization Framework for Multi-Task Structure Learning",
"status": "Spotlight",
"authors": "Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying"
},
{
"title": "A Unified Model for Content Based Image Suggestion and Feature Selection",
"status": "Poster",
"authors": "Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila"
},
{
"title": "A Unified Near-Optimal Estimator For Dimension Reduction in $l_\\alpha$ ($0<\\alpha\\leq 2$) Using Sta",
"status": "Poster",
"authors": "Ping Li, Trevor Hastie"
},
{
"title": "A complexity measure for intuitive theories",
"status": "Poster",
"authors": "Charles Kemp, Noah Goodman, Josh Tenenbaum"
},
{
"title": "A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses",
"status": "Poster",
"authors": "Massimiliano Giulioni, mario pannunzi, Davide Badoni, Vittorio Dante, paolo del giudice"
},
{
"title": "A general agnostic active learning algorithm",
"status": "Spotlight",
"authors": "Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni"
},
{
"title": "A learning framework for nearest neighbor search",
"status": "Poster",
"authors": "Lawrence Cayton, Sanjoy Dasgupta"
},
{
"title": "A neural network implementing optimal state estimation based on dynamic spike train decoding",
"status": "Oral",
"authors": "Omer Bobrowski, Ron Meir, Shy Shoham, Yonina Eldar"
},
{
"title": "A probabilistic model for generating realistic lip movements from speech",
"status": "Oral",
"authors": "Gwenn Englebienne, Tim Cootes, Magnus Rattray"
},
{
"title": "Active Preference Learning with Discrete Choice Data",
"status": "Poster",
"authors": "Eric Brochu, Nando de Freitas, Abhijeet Ghosh"
},
{
"title": "Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis",
"status": "Poster",
"authors": "Venkat Chandrasekaran, Jason K Johnson, Alan S Willsky"
},
{
"title": "Adaptive Online Gradient Descent",
"status": "Oral",
"authors": "Peter Bartlett, Elad Hazan, Sasha Rakhlin"
},
{
"title": "Agreement-Based Learning",
"status": "Spotlight",
"authors": "Percy Liang, Dan Klein, Michael Jordan"
},
{
"title": "An Analysis of Convex Relaxations for MAP Estimation",
"status": "Oral",
"authors": "Pawan K Mudigonda, Vladimir Kolmogorov, Philip Torr"
},
{
"title": "An Analysis of Inference with the Universum",
"status": "Spotlight",
"authors": "Fabian H Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Sch\u00f6lkopf"
},
{
"title": "An in-silico Neural Model of Dynamic Routing through Neuronal Coherence",
"status": "Spotlight",
"authors": "Devarajan Sridharan, Brian Percival, john arthur, Kwabena A Boahen"
},
{
"title": "An online Hebbian learning rule that performs Independent Component Analysis",
"status": "Poster",
"authors": "Claudia Clopath, Andr\u00e9 Longtin, Wulfram Gerstner"
},
{
"title": "Anytime Induction of Cost-sensitive Trees",
"status": "Spotlight",
"authors": "Saher Esmeir, Shaul Markovitch"
},
{
"title": "Augmented Functional Time Series Representation and Forecasting with Gaussian Processes",
"status": "Spotlight",
"authors": "Nicolas Chapados, Yoshua Bengio"
},
{
"title": "Automatic Generation of Social Tags for Music Recommendation",
"status": "Poster",
"authors": "Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, Stephen J Green"
},
{
"title": "Bayes-Adaptive POMDPs",
"status": "Spotlight",
"authors": "Stephane Ross, Brahim Chaib-draa, Joelle Pineau"
},
{
"title": "Bayesian Agglomerative Clustering with Coalescents",
"status": "Oral",
"authors": "Yee Whye Teh, Hal Daum\u00e9 III, Daniel Roy"
},
{
"title": "Bayesian Inference for Spiking Neuron Models with a Sparsity Prior",
"status": "Oral",
"authors": "Sebastian Gerwinn, Jakob H Macke, Matthias Seeger, Matthias Bethge"
},
{
"title": "Bayesian Multi-View Learning",
"status": "Spotlight",
"authors": "Shipeng Yu, Balaji R Krishnapuram, Romer E Rosales, Harald Steck, R. Bharat Rao"
},
{
"title": "Bayesian Policy Learning with Trans-Dimensional MCMC",
"status": "Spotlight",
"authors": "Matthew Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra"
},
{
"title": "Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms",
"status": "Poster",
"authors": "Dominik M Endres, Mike Oram, Johannes E Schindelin, Peter Foldiak"
},
{
"title": "Better than least squares: comparison of objective functions for estimating linear-nonlinear models",
"status": "Spotlight",
"authors": "Tatyana Sharpee"
},
{
"title": "Blind channel identification for speech dereverberation using l1-norm sparse learning",
"status": "Oral",
"authors": "Yuanqing Lin, Jingdong Chen, Youngmoo E Kim, Daniel Lee"
},
{
"title": "Boosting Algorithms for Maximizing the Soft Margin",
"status": "Spotlight",
"authors": "Manfred K. Warmuth, Karen Glocer, Gunnar R\u00e4tsch"
},
{
"title": "Boosting the Area under the ROC Curve",
"status": "Spotlight",
"authors": "Phil Long, Rocco A Servedio"
},
{
"title": "Bundle Methods for Machine Learning",
"status": "Spotlight",
"authors": "Alexander Smola, Vishwanathan S V N, Quoc V Le"
},
{
"title": "COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking",
"status": "Spotlight",
"authors": "Markus Weimer, Alexandros Karatzoglou, Quoc V Le, Alexander Smola"
},
{
"title": "CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation",
"status": "Poster",
"authors": "Luis E Ortiz"
},
{
"title": "Catching Change-points with Lasso",
"status": "Poster",
"authors": "Zaid Harchaoui, C\u00e9line L\u00e9vy-Leduc"
},
{
"title": "Catching Up Faster in Bayesian Model Selection and Model Averaging",
"status": "Spotlight",
"authors": "Tim van Erven, Peter Gr\u00fcnwald, Steven de Rooij"
},
{
"title": "Classification via Minimum Incremental Coding Length (MICL)",
"status": "Spotlight",
"authors": "John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum"
},
{
"title": "Cluster Stability for Finite Samples",
"status": "Oral",
"authors": "Ohad Shamir, Naftali Tishby"
},
{
"title": "Collapsed Variational Inference for HDP",
"status": "Spotlight",
"authors": "Yee Whye Teh, Kenichi Kurihara, Max Welling"
},
{
"title": "Collective Inference on Markov Models for Modeling Bird Migration",
"status": "Spotlight",
"authors": "Daniel Sheldon, M.A. Saleh Elmohamed, Dexter Kozen"
},
{
"title": "Colored Maximum Variance Unfolding",
"status": "Oral",
"authors": "Le Song, Alexander Smola, Karsten Borgwardt, Arthur Gretton"
},
{
"title": "Combined discriminative and generative articulated pose and non-rigid shape estimation",
"status": "Spotlight",
"authors": "Leonid Sigal, Alexandru Balan, Michael J Black"
},
{
"title": "Comparing Bayesian models for multisensory cue combination without mandatory integration",
"status": "Spotlight",
"authors": "Ulrik Beierholm, Konrad P Kording, Ladan Shams, Wei Ji Ma"
},
{
"title": "Competition Adds Complexity",
"status": "Poster",
"authors": "Judy Goldsmith, Martin Mundhenk"
},
{
"title": "Compressed Regression",
"status": "Poster",
"authors": "Shuheng Zhou, John Lafferty, Larry Wasserman"
},
{
"title": "Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria",
"status": "Poster",
"authors": "Elad Hazan, Satyen Kale"
},
{
"title": "Computing Robust Counter-Strategies",
"status": "Poster",
"authors": "Michael Johanson, Martin A Zinkevich, Michael Bowling"
},
{
"title": "Configuration Estimates Improve Pedestrian Finding",
"status": "Poster",
"authors": "Duan D Tran, David A Forsyth"
},
{
"title": "Congruence between model and human attention reveals unique signatures of critical visual events",
"status": "Spotlight",
"authors": "Robert J Peters, Laurent Itti"
},
{
"title": "Consistent Minimization of Clustering Objective Functions",
"status": "Spotlight",
"authors": "Ulrike von Luxburg, Sebastien Bubeck, Stefanie S Jegelka, Michael Kaufmann"
},
{
"title": "Continuous Time Particle Filtering for fMRI",
"status": "Poster",
"authors": "Lawrence Murray, Amos Storkey"
},
{
"title": "Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons",
"status": "Spotlight",
"authors": "Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Jean-Jacques Slotine, Rodney J Douglas"
},
{
"title": "Convex Clustering with Exemplar-Based Models",
"status": "Spotlight",
"authors": "Danial Lashkari, Polina Golland"
},
{
"title": "Convex Learning with Invariances",
"status": "Spotlight",
"authors": "Choon Hui Teo, Amir Globerson, Sam T Roweis, Alexander Smola"
},
{
"title": "Convex Relaxations of EM",
"status": "Poster",
"authors": "Yuhong Guo, Dale Schuurmans"
},
{
"title": "Cooled and Relaxed Survey Propagation for MRFs",
"status": "Spotlight",
"authors": "Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh"
},
{
"title": "DIFFRAC: a discriminative and flexible framework for clustering",
"status": "Poster",
"authors": "Francis Bach, Zaid Harchaoui"
},
{
"title": "Density Estimation under Independent Similarly Distributed Sampling Assumptions",
"status": "Spotlight",
"authors": "Tony Jebara, Yingbo Song, Kapil Thadani"
},
{
"title": "Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation",
"status": "Poster",
"authors": "Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Buenau, Motoaki Kawanabe"
},
{
"title": "Discovering Weakly-Interacting Factors in a Complex Stochastic Process",
"status": "Spotlight",
"authors": "Charlie Frogner, Avi Pfeffer"
},
{
"title": "Discriminative Batch Mode Active Learning",
"status": "Poster",
"authors": "Yuhong Guo, Dale Schuurmans"
},
{
"title": "Discriminative K-means for Clustering",
"status": "Poster",
"authors": "Jieping Ye, Zheng Zhao, Mingrui Wu"
},
{
"title": "Discriminative Keyword Selection Using Support Vector Machines",
"status": "Poster",
"authors": "Fred Richardson, William Campbell"
},
{
"title": "Discriminative Log-Linear Grammars with Latent Variables",
"status": "Spotlight",
"authors": "Slav Petrov, Dan Klein"
},
{
"title": "Distributed Inference for Latent Dirichlet Allocation",
"status": "Spotlight",
"authors": "David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling"
},
{
"title": "EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection",
"status": "Poster",
"authors": "Pierre W Ferrez, Jos\u00e9 del R. Mill\u00e1n"
},
{
"title": "Efficient Bayesian Inference for Dynamically Changing Graphs",
"status": "Spotlight",
"authors": "Ozgur Sumer, Umut A Acar, Alexander T. Ihler, Ramgopal R. Mettu"
},
{
"title": "Efficient Convex Relaxation for Transductive Support Vector Machine",
"status": "Poster",
"authors": "Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R Lyu"
},
{
"title": "Efficient Inference forDistributions on Permutations",
"status": "Oral",
"authors": "Jonathan Huang, Carlos Guestrin, Leonidas Guibas"
},
{
"title": "Efficient Principled Learning of Thin Junction Trees",
"status": "Poster",
"authors": "Anton Chechetka, Carlos Guestrin"
},
{
"title": "Efficient multiple hyperparameter learning for log-linear models",
"status": "Poster",
"authors": "Chuong B Do, Chuan-Sheng Foo, Andrew Y Ng"
},
{
"title": "Ensemble Clustering using Semidefinite Programming",
"status": "Spotlight",
"authors": "Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu"
},
{
"title": "Estimating disparity with confidence from energy neurons",
"status": "Poster",
"authors": "Eric Kong-Chau Tsang, Bertram E Shi"
},
{
"title": "Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization",
"status": "Spotlight",
"authors": "XuanLong Nguyen, Martin J Wainwright, Michael Jordan"
},
{
"title": "Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks",
"status": "Poster",
"authors": "Ben Carterette, Rosie Jones"
},
{
"title": "Expectation Maximization, Posterior Constraints, and Statistical Alignment",
"status": "Spotlight",
"authors": "Kuzman Ganchev, Joao V Graca, Ben Taskar"
},
{
"title": "Experience-Guided Search: A Theory of Attentional Control",
"status": "Spotlight",
"authors": "Michael Mozer, David Baldwin"
},
{
"title": "Exponential Family Predictive Representations of State",
"status": "Oral",
"authors": "David Wingate, Satinder Singh"
},
{
"title": "Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination",
"status": "Spotlight",
"authors": "Stanley, Yiu Man LAM, Bertram E Shi"
},
{
"title": "Fast Variational Inference for Large-scale Internet Diagnosis",
"status": "Poster",
"authors": "John C Platt, Emre Kiciman, David A Maltz"
},
{
"title": "Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition",
"status": "Poster",
"authors": "Maryam Mahdaviani, Tanzeem Choudhury"
},
{
"title": "FilterBoost: Regression and Classification on Large Datasets",
"status": "Oral",
"authors": "Joseph K Bradley, Robert E Schapire"
},
{
"title": "Fitted Q-iteration in continuous action-space MDPs",
"status": "Poster",
"authors": "Remi Munos, Andr\u00e1s Antos, Csaba Szepesvari"
},
{
"title": "Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations",
"status": "Poster",
"authors": "Amir Globerson, Tommi Jaakkola"
},
{
"title": "GRIFT: A graphical model for inferring visual classification features from human data",
"status": "Poster",
"authors": "Michael G Ross, Andrew Cohen"
},
{
"title": "Gaussian Process Models for Link Analysis and Transfer Learning",
"status": "Poster",
"authors": "Kai Yu, Wei Chu"
},
{
"title": "HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation",
"status": "Poster",
"authors": "Bing Zhao, Eric Xing"
},
{
"title": "Heterogeneous Component Analysis",
"status": "Spotlight",
"authors": "Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert M\u00fcller, Shin Ishii"
},
{
"title": "Hidden Common Cause Relations in Relational Learning",
"status": "Spotlight",
"authors": "Ricardo Silva, Wei Chu, Zoubin Ghahramani"
},
{
"title": "Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion",
"status": "Spotlight",
"authors": "J. Zico Kolter, Pieter Abbeel, Andrew Y Ng"
},
{
"title": "Hierarchical Penalization",
"status": "Spotlight",
"authors": "Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux"
},
{
"title": "Hippocampal Contributions to Control: The Third Way",
"status": "Oral",
"authors": "Mate Lengyel, Peter Dayan"
},
{
"title": "How SVMs can estimate quantiles and the median",
"status": "Spotlight",
"authors": "Andreas Christmann, Ingo Steinwart"
},
{
"title": "Incremental Natural Actor-Critic Algorithms",
"status": "Spotlight",
"authors": "Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh, Mark P Lee"
},
{
"title": "Inferring Elapsed Time from Stochastic Neural Processes",
"status": "Oral",
"authors": "Misha B Ahrens, Maneesh Sahani"
},
{
"title": "Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes",
"status": "Spotlight",
"authors": "John P Cunningham, Byron M Yu, Krishna V Shenoy, Maneesh Sahani"
},
{
"title": "Infinite State Bayes-Nets for Structured Domains",
"status": "Spotlight",
"authors": "Max Welling, Ian Porteous, Evgeniy Bart"
},
{
"title": "Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing",
"status": "Spotlight",
"authors": "Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Vadim Nikulin, Klaus-Robert M\u00fcller"
},
{
"title": "Iterative Non-linear Dimensionality Reduction with Manifold Sculpting",
"status": "Spotlight",
"authors": "Michael S Gashler, Dan Ventura, Tony Martinez"
},
{
"title": "Kernel Measures of Conditional Dependence",
"status": "Spotlight",
"authors": "Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Sch\u00f6lkopf"
},
{
"title": "Kernels on Attributed Pointsets with Applications",
"status": "Poster",
"authors": "Mehul Parsana, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, K. R. Ramakrishnan"
},
{
"title": "Learning Bounds for Domain Adaptation",
"status": "Poster",
"authors": "John Blitzer, Yacov Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan"
},
{
"title": "Learning Horizontal Connections in a Sparse Coding Model of Natural Images",
"status": "Poster",
"authors": "Pierre Garrigues, Bruno Olshausen"
},
{
"title": "Learning Monotonic Transformations for Classification",
"status": "Spotlight",
"authors": "Andrew G Howard, Tony Jebara"
},
{
"title": "Learning Visual Attributes",
"status": "Spotlight",
"authors": "Vittorio Ferrari, Andrew Zisserman"
},
{
"title": "Learning the 2-D Topology of Images",
"status": "Poster",
"authors": "Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Bal\u00e1zs K\u00e9gl"
},
{
"title": "Learning the structure of manifolds using random projections",
"status": "Poster",
"authors": "Yoav S Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma"
},
{
"title": "Learning to classify complex patterns using a VLSI network of spiking neurons",
"status": "Oral",
"authors": "Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi"
},
{
"title": "Learning with Transformation Invariant Kernels",
"status": "Spotlight",
"authors": "Christian Walder, Olivier Chapelle"
},
{
"title": "Learning with Tree-Averaged Densities and Distributions",
"status": "Oral",
"authors": "Sergey Kirshner"
},
{
"title": "Linear programming analysis of loopy belief propagation for weighted matching",
"status": "Poster",
"authors": "Sujay Sanghavi, Dmitry Malioutov, Alan S Willsky"
},
{
"title": "Local Algorithms for Approximate Inference in Minor-Excluded Graphs",
"status": "Poster",
"authors": "Kyomin Jung, Devavrat Shah"
},
{
"title": "Locality and low-dimensions in the prediction of natural experience from fMRI",
"status": "Poster",
"authors": "Francois G Meyer, Greg Stephens"
},
{
"title": "Loop Series and Bethe Variational Bounds in Attractive Graphical Models",
"status": "Poster",
"authors": "Erik Sudderth, Martin J Wainwright, Alan S Willsky"
},
{
"title": "Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning",
"status": "Spotlight",
"authors": "Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O Kephart, David Levine, Freeman Rawson, Charles Lefurgy"
},
{
"title": "Markov Chain Monte Carlo with People",
"status": "Oral",
"authors": "Adam Sanborn, Tom Griffiths"
},
{
"title": "McRank: Learning to Rank Using Multiple Classification and Gradient Boosting",
"status": "Spotlight",
"authors": "Ping Li, Chris J Burges, Qiang Wu"
},
{
"title": "Measuring Neural Synchrony by Message Passing",
"status": "Spotlight",
"authors": "Justin Dauwels, Fran\u00e7ois Vialatte, Tomasz M Rutkowski, Andrzej S CICHOCKI"
},
{
"title": "Message Passing for Max-weight Independent Set",
"status": "Spotlight",
"authors": "Sujay Sanghavi, Devavrat Shah, Alan S Willsky"
},
{
"title": "Mining Internet-Scale Software Repositories",
"status": "Poster",
"authors": "Erik Linstead, Paul Rigor, Ph.D., sushil bajracharya, cristina lopes, Pierre Baldi"
},
{
"title": "Modeling Natural Sounds with Modulation Cascade Processes",
"status": "Poster",
"authors": "Richard Turner, Maneesh Sahani"
},
{
"title": "Modeling homophily and stochastic equivalence in symmetric relational data",
"status": "Poster",
"authors": "Peter Hoff"
},
{
"title": "Modeling image patches with a directed hierarchy of Markov random fields",
"status": "Poster",
"authors": "Simon Osindero, Geoffrey E Hinton"
},
{
"title": "Modelling motion primitives and their timing in biologically executed movements",
"status": "Poster",
"authors": "Ben H Williams, Marc Toussaint, Amos Storkey"
},
{
"title": "Multi-Stage Monte Carlo Approximation for Fast Generalized Data Summations",
"status": "Poster",
"authors": "Michael Holmes, Alexander Gray, Charles Isbell"
},
{
"title": "Multi-Task Learning via Conic Programming",
"status": "Poster",
"authors": "Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai"
},
{
"title": "Multi-task Gaussian Process Prediction",
"status": "Spotlight",
"authors": "Edwin Bonilla, Kian Ming A Chai, Chris Williams"
},
{
"title": "Multiple Instance Active Learning",
"status": "Poster",
"authors": "Burr Settles, Mark Craven, Soumya Ray"
},
{
"title": "Multiple-Instance Pruning For Learning Efficient Cascade Detectors",
"status": "Poster",
"authors": "Cha Zhang, Paul Viola"
},
{
"title": "Near-Maximum Entropy Models for Binary Neural Representations of Natural Images",
"status": "Spotlight",
"authors": "Matthias Bethge, Philipp Berens"
},
{
"title": "Nearest-Neighbor-Based Active Learning for Rare Category Detection",
"status": "Spotlight",
"authors": "Jingrui He, Jaime Carbonell"
},
{
"title": "Neural characterization in partially observed populations of spiking neurons",
"status": "Oral",
"authors": "Jonathan W Pillow, Peter E Latham"
},
{
"title": "New Outer Bounds on the Marginal Polytope",
"status": "Oral",
"authors": "David Sontag, Tommi Jaakkola"
},
{
"title": "Non-parametric Modeling of Partially Ranked Data",
"status": "Oral",
"authors": "Guy Lebanon, Yi Mao"
},
{
"title": "Object Recognition by Scene Alignment",
"status": "Spotlight",
"authors": "Bryan C Russell, Antonio Torralba, Ce Liu, Rob Fergus, William Freeman"
},
{
"title": "On Ranking in Survival Analysis: Bounds on the Concordance Index",
"status": "Poster",
"authors": "Vikas C Raykar, Harald Steck, Balaji R Krishnapuram, Cary Dehing-Oberije, Philippe Lambin"
},
{
"title": "On Sparsity and Overcompleteness in Image Models",
"status": "Poster",
"authors": "Pietro Berkes, Richard Turner, Maneesh Sahani"
},
{
"title": "On higher-order perceptron algorithms",
"status": "Poster",
"authors": "Claudio Gentile, Fabio Vitale, Cristian Brotto"
},
{
"title": "One-Pass Boosting",
"status": "Spotlight",
"authors": "Zafer Barutcuoglu, Phil Long, Rocco A Servedio"
},
{
"title": "Online Linear Regression and Its Application to Model-Based Reinforcement Learning",
"status": "Poster",
"authors": "Alexander L Strehl, Michael L Littman"
},
{
"title": "Optimal ROC Curve for a Combination of Classifiers",
"status": "Poster",
"authors": "Marco Barreno, Alvaro A C\u00e1rdenas, Doug Tygar"
},
{
"title": "Optimal models of sound localization by barn owls",
"status": "Poster",
"authors": "Brian J Fischer"
},
{
"title": "Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs",
"status": "Poster",
"authors": "Ambuj Tewari, Peter Bartlett"
},
{
"title": "Parallelizing Support Vector Machines on Distributed Computers",
"status": "Poster",
"authors": "Edward Y Chang, Kaihua Zhu, Hao Wang, hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui"
},
{
"title": "People Tracking with the Laplacian Eigenmaps Latent Variable Model",
"status": "Poster",
"authors": "Zhengdong Lu, Miguel A. Carreira-Perpinan, Cristian Sminchisescu"
},
{
"title": "Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression",
"status": "Poster",
"authors": "Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans"
},
{
"title": "Predicting human gaze using low-level saliency combined with face detection",
"status": "Poster",
"authors": "Moran Cerf, Jonathan Harel, Wolfgang Einh\u00e4user, Christof Koch"
},
{
"title": "Predictive Matrix-Variate t Models",
"status": "Poster",
"authors": "Shenghuo Zhu, Kai Yu, Yihong Gong"
},
{
"title": "Privacy-Preserving Belief Propagation and Sampling",
"status": "Spotlight",
"authors": "Michael Kearns, Jinsong Tan, Jennifer Wortman Vaughan"
},
{
"title": "Probabilistic Matrix Factorization",
"status": "Oral",
"authors": "Russ Salakhutdinov, Andriy Mnih"
},
{
"title": "Progressive mixture rules are deviation suboptimal",
"status": "Poster",
"authors": "Jean-Yves Audibert"
},
{
"title": "Random Features for Large-Scale Kernel Machines",
"status": "Spotlight",
"authors": "ali rahimi, Benjamin Recht"
},
{
"title": "Random Projections for Manifold Learning",
"status": "Poster",
"authors": "Chinmay Hegde, Richard Baraniuk"
},
{
"title": "Random Sampling of States in Dynamic Programming",
"status": "Poster",
"authors": "Chris Atkeson, Benjamin Stephens"
},
{
"title": "Rapid Inference on a novel AND/OR graph: Detection, Segmentation and Parsing of Articulated Deformable Objects in Cluttered Backgrounds",
"status": "Poster",
"authors": "Yuanhao Chen, Long Zhu, Chenxi Lin, Alan Yuille, Hongjiang Zhang"
},
{
"title": "Receding Horizon Differential Dynamic Programming",
"status": "Poster",
"authors": "Yuval Tassa, Tom Erez, Bill Smart"
},
{
"title": "Receptive Fields without Spike-Triggering",
"status": "Poster",
"authors": "Jakob H Macke, G\u00fcnther Zeck, Matthias Bethge"
},
{
"title": "Regret Minimization in Games with Incomplete Information",
"status": "Spotlight",
"authors": "Martin A Zinkevich, Michael Johanson, Michael Bowling, Carmelo Piccione"
},
{
"title": "Regularized Boost for Semi-Supervised Learning",
"status": "Poster",
"authors": "Ke Chen, Shihai Wang"
},
{
"title": "Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach",
"status": "Poster",
"authors": "Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Tjeerd M Dijkstra, Tom Heskes"
},
{
"title": "Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods",
"status": "Spotlight",
"authors": "Alessandro Lazaric, Marcello Restelli, Andrea Bonarini"
},
{
"title": "Resampling Methods for Protein Structure Prediction with Rosetta",
"status": "Spotlight",
"authors": "Ben Blum, David Baker, Michael Jordan, Philip Bradley, Rhiju Das, David Kim"
},
{
"title": "Retrieved context and the discovery of semantic structure",
"status": "Spotlight",
"authors": "Vinayak Rao, Marc Howard"
},
{
"title": "Robust Regression with Twinned Gaussian Processes",
"status": "Poster",
"authors": "Andrew Naish-Guzman, Sean B Holden"
},
{
"title": "Scan Strategies for Meteorological Radars",
"status": "Poster",
"authors": "Victoria Manfredi, Jim Kurose"
},
{
"title": "Scene Segmentation with CRFs Learned from Partially Labeled Images",
"status": "Oral",
"authors": "Jakob Verbeek, Bill Triggs"
},
{
"title": "Second Order Bilinear Discriminant Analysis for single trial EEG analysis",
"status": "Poster",
"authors": "Christoforos Christoforou, Paul Sajda, Lucas C Parra"
},
{
"title": "Selecting Observations against Adversarial Objectives",
"status": "Spotlight",
"authors": "Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta"
},
{
"title": "Semi-Supervised Multitask Learning",
"status": "Spotlight",
"authors": "Qiuhua Liu, Xuejun Liao, Lawrence Carin"
},
{
"title": "Sequential Hypothesis Testing under Stochastic Deadlines",
"status": "Spotlight",
"authors": "Peter Frazier, Angela Yu"
},
{
"title": "Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons",
"status": "Poster",
"authors": "Lars Buesing, Wolfgang Maass"
},
{
"title": "Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains",
"status": "Spotlight",
"authors": "Andrea Lecchini-Visintini, John Lygeros, Jan Maciejowski"
},
{
"title": "SpAM: Sparse Additive Models",
"status": "Spotlight",
"authors": "Pradeep Ravikumar, Han Liu, John Lafferty, Larry Wasserman"
},
{
"title": "Sparse Feature Learning for Deep Belief Networks",
"status": "Poster",
"authors": "Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun"
},
{
"title": "Sparse Overcomplete Latent Variable Decomposition of Counts Data",
"status": "Poster",
"authors": "Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis"
},
{
"title": "Sparse deep belief net model for visual area V2",
"status": "Poster",
"authors": "Honglak Lee, Ekanadham Chaitanya, Andrew Y Ng"
},
{
"title": "Spatial Latent Dirichlet Allocation",
"status": "Poster",
"authors": "Xiaogang Wang, Eric Grimson"
},
{
"title": "Stability Bounds for Non-i.i.d. Processes",
"status": "Poster",
"authors": "Mehryar Mohri, Afshin Rostamizadeh"
},
{
"title": "Stable Dual Dynamic Programming",
"status": "Spotlight",
"authors": "Tao Wang, Daniel Lizotte, Michael Bowling, Dale Schuurmans"
},
{
"title": "Statistical Analysis of Semi-Supervised Regression",
"status": "Spotlight",
"authors": "John Lafferty, Larry Wasserman"
},
{
"title": "Structured Learning with Approximate Inference",
"status": "Spotlight",
"authors": "Alex Kulesza, Fernando Pereira"
},
{
"title": "Subspace-Based Face Recognition in Analog VLSI",
"status": "Spotlight",
"authors": "Miguel E Figueroa, Gonzalo Carvajal, Waldo Valenzuela"
},
{
"title": "Supervised Topic Models",
"status": "Poster",
"authors": "David Blei, Jon McAuliffe"
},
{
"title": "Support Vector Machine Classification with Indefinite Kernels",
"status": "Poster",
"authors": "Ronny Luss, Alexandre d'Aspremont"
},
{
"title": "Temporal Difference with Eligibility Traces Derived from First Principles",
"status": "Poster",
"authors": "Marcus Hutter, Shane Legg"
},
{
"title": "Testing for Homogeneity with Kernel Fisher Discriminant Analysis",
"status": "Poster",
"authors": "Zaid Harchaoui, Francis Bach, Moulines Eric"
},
{
"title": "The Distribution Family of Similarity Distances",
"status": "Poster",
"authors": "Gertjan Burghouts, Arnold Smeulders, Jan-Mark Geusebroek"
},
{
"title": "The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information",
"status": "Poster",
"authors": "John Langford, Tong Zhang"
},
{
"title": "The Generalized FITC Approximation",
"status": "Spotlight",
"authors": "Andrew Naish-Guzman, Sean B Holden"
},
{
"title": "The Infinite Gamma-Poisson Feature Model",
"status": "Poster",
"authors": "Michalis Titsias"
},
{
"title": "The Infinite Markov Model",
"status": "Oral",
"authors": "Daichi Mochihashi, Eiichiro Sumita"
},
{
"title": "The Noisy-Logical Distribution and its Application to Causal Inference",
"status": "Poster",
"authors": "Alan Yuille, HongJing Lu"
},
{
"title": "The Price of Bandit Information for Online Optimization",
"status": "Oral",
"authors": "Varsha Dani, Thomas P Hayes, Sham M Kakade"
},
{
"title": "The Tradeoffs of Large Scale Learning",
"status": "Poster",
"authors": "Leon Bottou, Olivier Bousquet"
},
{
"title": "The Value of Labeled and Unlabeled Examples when the Model is Imperfect",
"status": "Spotlight",
"authors": "Kaushik Sinha, Mikhail Belkin"
},
{
"title": "The discriminant center-surround hypothesis for bottom-up saliency",
"status": "Poster",
"authors": "Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos"
},
{
"title": "The rat as particle filter",
"status": "Spotlight",
"authors": "Nathaniel D Daw, Aaron Courville"
},
{
"title": "Theoretical Analysis of Heuristic Search Methods for Online POMDPs",
"status": "Poster",
"authors": "Stephane Ross, Joelle Pineau, Brahim Chaib-draa"
},
{
"title": "Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity",
"status": "Spotlight",
"authors": "Robert Legenstein, Dejan Pecevski, Wolfgang Maass"
},
{
"title": "Topmoumoute Online Natural Gradient Algorithm",
"status": "Poster",
"authors": "Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio"
},
{
"title": "Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations",
"status": "Spotlight",
"authors": "M. M. H Mahmud, Sylvian Ray"
},
{
"title": "TrueSkill Through Time: Revisiting the History of Chess",
"status": "Spotlight",
"authors": "Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore K Graepel"
},
{
"title": "Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks",
"status": "Poster",
"authors": "Alex Graves, Santiago Fernandez, Marcus Liwicki, Horst Bunke, J\u00fcrgen Schmidhuber"
},
{
"title": "Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes",
"status": "Poster",
"authors": "Russ Salakhutdinov, Geoffrey E Hinton"
},
{
"title": "Variational Inference for Diffusion Processes",
"status": "Poster",
"authors": "Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor"
},
{
"title": "Variational inference for Markov jump processes",
"status": "Poster",
"authors": "Manfred Opper, Guido Sanguinetti"
},
{
"title": "What makes some POMDP problems easy to approximate?",
"status": "Spotlight",
"authors": "David Hsu, Wee Sun Lee, Nan Rong"
}
]