NeurIPS 2009
262 papers
A Bayesian Analysis of Dynamics in Free Recall
Richard Socher, Samuel Gershman, Per Sederberg, Kenneth Norman, Adler J. Perotte, David M. Blei A Data-Driven Approach to Modeling Choice
Vivek Farias, Srikanth Jagabathula, Devavrat Shah A Fast, Consistent Kernel Two-Sample Test
Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur A General Projection Property for Distribution Families
Yao-liang Yu, Yuxi Li, Dale Schuurmans, Csaba Szepesvári A Generalized Natural Actor-Critic Algorithm
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya A Parameter-Free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias, Ciamac C. Moallemi Adaptive Regularization for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang An Additive Latent Feature Model for Transparent Object Recognition
Mario Fritz, Gary Bradski, Sergey Karayev, Trevor Darrell, Michael J. Black Analysis of SVM with Indefinite Kernels
Yiming Ying, Colin Campbell, Mark Girolami Asymptotically Optimal Regularization in Smooth Parametric Models
Percy Liang, Guillaume Bouchard, Francis R. Bach, Michael I. Jordan AUC Optimization and the Two-Sample Problem
Nicolas Vayatis, Marine Depecker, Stéphan J. Clémençcon Bayesian Belief Polarization
Alan Jern, Kai-min Chang, Charles Kemp Bayesian Estimation of Orientation Preference Maps
Sebastian Gerwinn, Leonard White, Matthias Kaschube, Matthias Bethge, Jakob H. Macke Bilinear Classifiers for Visual Recognition
Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge, Zhen J. Xiang Bootstrapping from Game Tree Search
Joel Veness, David Silver, Alan Blair, William Uther Code-Specific Policy Gradient Rules for Spiking Neurons
Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner Conditional Neural Fields
Jian Peng, Liefeng Bo, Jinbo Xu Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
Hamid R. Maei, Csaba Szepesvári, Shalabh Bhatnagar, Doina Precup, David Silver, Richard S. Sutton Directed Regression
Yi-hao Kao, Benjamin V. Roy, Xiang Yan Discriminative Network Models of Schizophrenia
Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-laure Paillere-martinot, Catherine Martelli, Jean-luc Martinot, Jean-baptiste Poline, Guillermo A. Cecchi Distribution Matching for Transduction
Novi Quadrianto, James Petterson, Alex J. Smola Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Pavel Laskov, Klaus-Robert Müller, Alexander Zien, Sören Sonnenburg Efficient Moments-Based Permutation Tests
Chunxiao Zhou, Huixia J. Wang, Yongmei M. Wang Efficient Recovery of Jointly Sparse Vectors
Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye Ensemble Nystrom Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley, Tibério S. Caetano Factor Modeling for Advertisement Targeting
Ye Chen, Michael Kapralov, John Canny, Dmitry Y. Pavlov Fast Subtree Kernels on Graphs
Nino Shervashidze, Karsten Borgwardt Free Energy Score Space
Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic From PAC-Bayes Bounds to KL Regularization
Pascal Germain, Alexandre Lacasse, Mario Marchand, Sara Shanian, François Laviolette Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow Help or Hinder: Bayesian Models of Social Goal Inference
Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah Goodman, Joshua B. Tenenbaum Human Rademacher Complexity
Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet, Bernhard Schölkopf, Bharath K. Sriperumbudur Label Selection on Graphs
Andrew Guillory, Jeff A. Bilmes Lattice Regression
Eric Garcia, Maya Gupta Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao, Lawrence Carin Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao Linear-Time Algorithms for Pairwise Statistical Problems
Parikshit Ram, Dongryeol Lee, William March, Alexander G. Gray Localizing Bugs in Program Executions with Graphical Models
Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari, Sewoong Oh Maximin Affinity Learning of Image Segmentation
Kevin Briggman, Winfried Denk, Sebastian Seung, Moritz N. Helmstaedter, Srinivas C. Turaga Measuring Invariances in Deep Networks
Ian Goodfellow, Honglak Lee, Quoc V. Le, Andrew Saxe, Andrew Y. Ng Multi-Label Prediction via Compressed Sensing
Daniel J. Hsu, Sham M. Kakade, John Langford, Tong Zhang Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao, Richard S. Sutton, Csaba Szepesvári Neurometric Function Analysis of Population Codes
Philipp Berens, Sebastian Gerwinn, Alexander Ecker, Matthias Bethge Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou, Haojun Chen, Lu Ren, Guillermo Sapiro, Lawrence Carin, John W. Paisley Nonparametric Bayesian Texture Learning and Synthesis
Long Zhu, Yuanahao Chen, Bill Freeman, Antonio Torralba Occlusive Components Analysis
Jörg Lücke, Richard Turner, Maneesh Sahani, Marc Henniges On Invariance in Hierarchical Models
Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio On the Algorithmics and Applications of a Mixed-Norm Based Kernel Learning Formulation
Saketha N. Jagarlapudi, Dinesh G, Raman S, Chiranjib Bhattacharyya, Aharon Ben-tal, Ramakrishnan K.r. Online Learning of Assignments
Matthew Streeter, Daniel Golovin, Andreas Krause Polynomial Semantic Indexing
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri Probabilistic Relational PCA
Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma, Hang Li Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-graber, David M. Blei Rethinking LDA: Why Priors Matter
Hanna M. Wallach, David M. Mimno, Andrew McCallum Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic, Bill Freeman, Andrew Zisserman Sharing Features Among Dynamical Systems with Beta Processes
Emily B. Fox, Michael I. Jordan, Erik B. Sudderth, Alan S. Willsky Slow Learners Are Fast
Martin Zinkevich, John Langford, Alex J. Smola Solving Stochastic Games
Liam M. Dermed, Charles L. Isbell Sparse and Locally Constant Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Nikos Paragios, Rita Goldstein, Luis E. Ortiz Strategy Grafting in Extensive Games
Kevin Waugh, Nolan Bard, Michael Bowling Streaming K-Means Approximation
Nir Ailon, Ragesh Jaiswal, Claire Monteleoni Subject Independent EEG-Based BCI Decoding
Siamac Fazli, Cristian Grozea, Marton Danoczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller Submanifold Density Estimation
Arkadas Ozakin, Alexander G. Gray Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes The Wisdom of Crowds in the Recollection of Order Information
Mark Steyvers, Brent Miller, Pernille Hemmer, Michael D. Lee Tracking Dynamic Sources of Malicious Activity at Internet Scale
Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen, Oliver Spatscheck Zero-Shot Learning with Semantic Output Codes
Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell