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NIPS*2009
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| Information-theoretic lower bounds on the oracle complexity of convex optimization Alekh Agarwal, Peter Bartlett, Pradeep Ravikumar, Martin Wainwright [pdf] [bibtex] [slide] Streaming k-means approximation Nir Ailon, Ragesh Jaiswal, Claire Monteleoni [pdf] [bibtex] [supplemental] Complexity of Decentralized Control: Special Cases Martin Allen, Shlomo Zilberstein [pdf] [bibtex] [supplemental] Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization Massih Amini, Nicolas Usunier, Cyril Goutte [pdf] [bibtex] [supplemental] Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection Roy Anati, Kostas Daniilidis [pdf] [bibtex] Data-driven calibration of linear estimators with minimal penalties Sylvain Arlot, Francis Bach [pdf] [bibtex] [supplemental] [slide] On Learning Rotations Raman Arora [pdf] [bibtex] [slide] [audio] Polynomial Semantic Indexing Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri [pdf] [bibtex] Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution Cosmin Bejan, Matthew Titsworth, Andrew Hickl, Sanda Harabagiu [pdf] [bibtex] Group Sparse Coding Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow [pdf] [bibtex] Neurometric function analysis of population codes Philipp Berens, Sebastian Gerwinn, Alexander Ecker, Matthias Bethge [pdf] [bibtex] Slow, Decorrelated Features for Pretraining Complex Cell-like Networks James Bergstra, Yoshua Bengio [pdf] [bibtex] No evidence for active sparsification in the visual cortex Pietro Berkes, Ben White, Jozsef Fiser [pdf] [bibtex] [supplemental] [slide] Manifold Regularization for SIR with Rate Root-n Convergence Wei Bian, Dacheng Tao [pdf] [bibtex] [slide] [audio] Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity Mathew Blaschko, Jacquelyn Shelton, Andreas Bartels [pdf] [bibtex] Efficient Match Kernel between Sets of Features for Visual Recognition Liefeng Bo, Cristian Sminchisescu [pdf] [bibtex] [slide] Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs Alexandre Bouchard-Côté, Slav Petrov, Dan Klein [pdf] [bibtex] [slide] Unsupervised Feature Selection for the $k$-means Clustering Problem Christos Boutsidis, Michael Mahoney, Petros Drineas [pdf] [bibtex] On Invariance in Hierarchical Models Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio [pdf] [bibtex] [supplemental] Optimal context separation of spiking haptic signals by second-order somatosensory neurons Romain Brasselet, Roland Johansson, Angelo Arleo [pdf] [bibtex] [supplemental] [correction] Nash Equilibria of Static Prediction Games Michael Brückner, Tobias Scheffer [pdf] [bibtex] [supplemental] A Game-Theoretic Approach to Hypergraph Clustering Samuel Rota Bulò, Marcello Pelillo [pdf] [bibtex] Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability Keith Bush, Joelle Pineau [pdf] [bibtex] Learning to Explore and Exploit in POMDPs Chenghui Cai, Xuejun Liao, Lawrence Carin [pdf] [bibtex] Speaker Comparison with Inner Product Discriminant Functions William Campbell, Zahi Karam, Douglas Sturim [pdf] [bibtex] A Stochastic approximation method for inference in probabilistic graphical models Peter Carbonetto, Matthew King, Firas Hamze [pdf] [bibtex] [slide] Bayesian Nonparametric Models on Decomposable Graphs Francois Caron, Arnaud Doucet [pdf] [bibtex] Adaptive Design Optimization in Experiments with People Daniel Cavagnaro, Mark Pitt, Jay Myung [pdf] [bibtex] Efficient Bregman Range Search Lawrence Cayton [pdf] [bibtex] [slide] Discriminative Network Models of Schizophrenia Guillermo Cecchi, Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-Laure Paillere-Martinot, Catherine Martelli, Jean-Luc Martinot, Jean-Baptiste Poline [pdf] [bibtex] [supplemental] Learning with Compressible Priors Volkan Cevher [pdf] [bibtex] Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes Kian Ming Chai [pdf] [bibtex] [supplemental] Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis Barry Chai, Dirk Walther, Diane Beck, Li Fei-Fei [pdf] [bibtex] Reading Tea Leaves: How Humans Interpret Topic Models Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, Chong Wang, David Blei [pdf] [bibtex] [supplemental] A Parameter-free Hedging Algorithm Kamalika Chaudhuri, Yoav Freund, Daniel Hsu [pdf] [bibtex] [supplemental] [slide] An Online Algorithm for Large Scale Image Similarity Learning Gal Chechik, Uri Shalit, Varun Sharma, Samy Bengio [pdf] [bibtex] Factor Modeling for Advertisement Targeting Ye Chen, Michael Kapralov, Dmitry Pavlov, John Canny [pdf] [bibtex] [slide] Ranking Measures and Loss Functions in Learning to Rank Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhi-Ming Ma, Hang Li [pdf] [bibtex] The Ordered Residual Kernel for Robust Motion Subspace Clustering Tat-Jun Chin, Hanzi Wang, David Suter [pdf] [bibtex] Kernel Methods for Deep Learning Youngmin Cho, Lawrence Saul [pdf] [bibtex] Approximating MAP by Compensating for Structural Relaxations Arthur Choi, Adnan Darwiche [pdf] [bibtex] [supplemental] AUC optimization and the two-sample problem Stéphan Clémençon, Nicolas Vayatis, Marine Depecker [pdf] [bibtex] Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing Ruben Coen-Cagli, Peter Dayan, Odelia Schwartz [pdf] [bibtex] [slide] fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity Bryan Conroy, Ben Singer, James Haxby, Peter Ramadge [pdf] [bibtex] [supplemental] Sensitivity analysis in HMMs with application to likelihood maximization Pierre-Arnaud Coquelin, Romain Deguest, Remi Munos [pdf] [bibtex] Learning Non-Linear Combinations of Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh [pdf] [bibtex] An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism Aaron Courville, Douglas Eck, Yoshua Bengio [pdf] [bibtex] [supplemental] Adaptive Regularization of Weight Vectors Koby Crammer, Alex Kulesza, Mark Dredze [pdf] [bibtex] [slide] Learning transport operators for image manifolds Benjamin Culpepper, Bruno Olshausen [pdf] [bibtex] [supplemental] [slide] White Functionals for Anomaly Detection in Dynamical Systems Marco Cuturi, Jean-Philippe Vert, Alexandre D'Aspremont [pdf] [bibtex] [slide] $L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry Arnak Dalalyan, Renaud Keriven [pdf] [bibtex] Distribution-Calibrated Hierarchical Classification Ofer Dekel [pdf] [bibtex] Solving Stochastic Games Liam Mac Dermed, Charles Isbell [pdf] [bibtex] A Smoothed Approximate Linear Program Vijay Desai, Vivek Farias, Ciamac Moallemi [pdf] [bibtex] [supplemental] [slide] Localizing Bugs in Program Executions with Graphical Models Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer [pdf] [bibtex] [supplemental] The Infinite Partially Observable Markov Decision Process Finale Doshi-Velez [pdf] [bibtex] A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation Lan Du, Lu Ren, David Dunson, Lawrence Carin [pdf] [bibtex] Efficient Learning using Forward-Backward Splitting John Duchi, Yoram Singer [pdf] [bibtex] [supplemental] Streaming Pointwise Mutual Information Benjamin Van Durme, Ashwin Lall [pdf] [bibtex] A Data-Driven Approach to Modeling Choice Vivek Farias, Srikanth Jagabathula, Devavrat Shah [pdf] [bibtex] [supplemental] [slide] Subject independent EEG-based BCI decoding Siamac Fazli, Cristian Grozea, Marton Danoczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Muller [pdf] [bibtex] [slide] Semi-Supervised Learning in Gigantic Image Collections Rob Fergus, Yair Weiss, Antonio Torralba [pdf] [bibtex] Evaluating multi-class learning strategies in a generative hierarchical framework for object detection Sanja Fidler, Marko Boben, Ales Leonardis [pdf] [bibtex] [slide] Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis Alyson Fletcher, Sundeep Rangan [pdf] [bibtex] [slide] Sharing Features among Dynamical Systems with Beta Processes Emily Fox, Erik Sudderth, Michael Jordan, Alan Willsky [pdf] [bibtex] [supplemental] An Additive Latent Feature Model for Transparent Object Recognition Mario Fritz, Michael Black, Gary Bradski, Sergey Karayev, Trevor Darrell [pdf] [bibtex] [slide] [audio] An LP View of the M-best MAP problem Menachem Fromer, Amir Globerson [pdf] [bibtex] Estimating image bases for visual image reconstruction from human brain activity Yusuke Fujiwara, Yoichi Miyawaki, Yukiyasu Kamitani [pdf] [bibtex] Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han [pdf] [bibtex] [supplemental] [slide] [audio] Lattice Regression Eric Garcia, Maya Gupta [pdf] [bibtex] From PAC-Bayes Bounds to KL Regularization Pascal Germain, Alexandre Lacasse, Francois Laviolette, Mario Marchand, Sara Shanian [pdf] [bibtex] Perceptual Multistability as Markov Chain Monte Carlo Inference Samuel Gershman, Ed Vul, Joshua Tenenbaum [pdf] [bibtex] [slide] Bayesian Source Localization with the Multivariate Laplace Prior Marcel Van Gerven, Botond Cseke, Robert Oostenveld, Tom Heskes [pdf] [bibtex] A joint maximum-entropy model for binary neural population patterns and continuous signals Sebastian Gerwinn, Philipp Berens, Matthias Bethge [pdf] [bibtex] [slide] A Biologically Plausible Model for Rapid Natural Scene Identification Sennay Ghebreab, Steven Scholte, Victor Lamme, Arnold Smeulders [pdf] [bibtex] A Gaussian Tree Approximation for Integer Least-Squares Jacob Goldberger, Amir Leshem [pdf] [bibtex] Measuring Invariances in Deep Networks Ian Goodfellow, Quoc Le, Andrew Saxe, Andrew Ng [pdf] [bibtex] Region-based Segmentation and Object Detection Stephen Gould, Tianshi Gao, Daphne Koller [pdf] [bibtex] [slide] Posterior vs Parameter Sparsity in Latent Variable Models Joao Graca, Kuzman Ganchev, Ben Taskar, Fernando Pereira [pdf] [bibtex] [supplemental] [slide] A Fast, Consistent Kernel Two-Sample Test Arthur Gretton, Kenji Fukumizu, Zaid Harchaoui, Bharath Sriperumbudur [pdf] [bibtex] [slide] [supplemental] Non-stationary continuous dynamic Bayesian networks Marco Grzegorczyk, Dirk Husmeier [pdf] [bibtex] [supplemental] [slide] Label Selection on Graphs Andrew Guillory, Jeff Bilmes [pdf] [bibtex] [supplemental] Beyond Convexity: Online Submodular Minimization Elad Hazan, Satyen Kale [pdf] [bibtex] On Stochastic and Worst-case Models for Investing Elad Hazan, Satyen Kale [pdf] [bibtex] Robust Nonparametric Regression with Metric-Space Valued Output Matthias Hein [pdf] [bibtex] [supplemental] Hierarchical Learning of Dimensional Biases in Human Categorization Katherine Heller, Adam Sanborn, Nick Chater [pdf] [bibtex] [slide] Bayesian Sparse Factor Models and DAGs Inference and Comparison Ricardo Henao, Ole Winther [pdf] [bibtex] [supplemental] [slide] Sparse and Locally Constant Gaussian Graphical Models Jean Honorio, Luis Ortiz, Dimitris Samaras, Nikos Paragios, Rita Goldstein [pdf] [bibtex] [supplemental] [slide] Periodic Step Size Adaptation for Single Pass On-line Learning Chun-Nan Hsu, Yu-Ming Chang, Hanshen Huang, Yuh-Jye Lee [pdf] [bibtex] [slide] [audio] Multi-Label Prediction via Compressed Sensing Daniel Hsu, Sham Kakade, John Langford, Tong Zhang [pdf] [bibtex] [supplemental] [slide] Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning Anne Hsu, Thomas Griffiths [pdf] [bibtex] Accelerated Gradient Methods for Stochastic Optimization and Online Learning Chonghai Hu, James Kwok, Weike Pan [pdf] [bibtex] Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) Tao Hu, Anthony Leonardo, Dmitri Chklovskii [pdf] [bibtex] Riffled Independence for Ranked Data Jonathan Huang, Carlos Guestrin [pdf] [bibtex] [supplemental] [slide] [audio] 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 [pdf] [bibtex] [slide] [audio] Discrete MDL Predicts in Total Variation Marcus Hutter [pdf] [bibtex] [slide] Particle-based Variational Inference for Continuous Systems Alexander Ihler, Andrew Frank, Padhraic Smyth [pdf] [bibtex] [slide] Modeling Social Annotation Data with Content Relevance using a Topic Model Tomoharu Iwata, Takeshi Yamada, Naonori Ueda [pdf] [bibtex] [slide] On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation Saketha Nath Jagarlapudi, Dinesh G, Raman S, Chiranjib Bhattacharyya, Aharon Ben-Tal, Ramakrishnan K.R. [pdf] [bibtex] [slide] Bayesian Belief Polarization Alan Jern, Kai-min Chang, Charles Kemp [pdf] [bibtex] [supplemental] Regularized Distance Metric Learning:Theory and Algorithm Rong Jin, Shijun Wang, Yang Zhou [pdf] [bibtex] [supplemental] [slide] Local Rules for Global MAP: When Do They Work ? Kyomin Jung, Pushmeet Kohli, Devavrat Shah [pdf] [bibtex] Potential-Based Agnostic Boosting Adam Kalai, Varun Kanade [pdf] [bibtex] [supplemental] [slide] Directed Regression Yi-hao Kao, Benjamin Van Roy, Xiang Yan [pdf] [bibtex] Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition Ashish Kapoor, Eric Horvitz [pdf] [bibtex] Multiple Incremental Decremental Learning of Support Vector Machines Masayuki Karasuyama, Ichiro Takeuchi [pdf] [bibtex] Submodularity Cuts and Applications Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff Bilmes [pdf] [bibtex] [supplemental] [slide] Individuation, Identification and Object Discovery Charles Kemp, Alan Jern, Fei Xu [pdf] [bibtex] Abstraction and Relational learning Charles Kemp, Alan Jern [pdf] [bibtex] [slide] Quantification and the language of thought Charles Kemp [pdf] [bibtex] [slide] Matrix Completion from Noisy Entries Raghunandan Keshavan, Andrea Montanari, Sewoong Oh [pdf] [bibtex] [slide] Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction Kwang In Kim, Florian Steinke, Matthias Hein [pdf] [bibtex] [supplemental] Unsupervised Detection of Regions of Interest Using Iterative Link Analysis Gunhee Kim, Antonio Torralba [pdf] [bibtex] Clustering sequence sets for motif discovery Jong Kyoung Kim, Seungjin Choi [pdf] [bibtex] [slide] Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks Stefan Klampfl, Wolfgang Maass [pdf] [bibtex] [slide] Efficient and Accurate Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Soeren Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien [pdf] [bibtex] [supplemental] Sparsistent Learning of Varying-coefficient Models with Structural Changes Mladen Kolar, Le Song, Eric Xing [pdf] [bibtex] [supplemental] [slide] Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining George Konidaris, Andrew Barto [pdf] [bibtex] [supplemental] [slide] Fast, smooth and adaptive regression in metric spaces Samory Kpotufe [pdf] [bibtex] Fast Image Deconvolution using Hyper-Laplacian Priors Dilip Krishnan, Rob Fergus [pdf] [bibtex] [slide] Learning to Hash with Binary Reconstructive Embeddings Brian Kulis, Trevor Darrell [pdf] [bibtex] [slide] Learning a Small Mixture of Trees M. Pawan Kumar, Daphne Koller [pdf] [bibtex] Ensemble Nystrom Method Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar [pdf] [bibtex] Monte Carlo Sampling for Regret Minimization in Extensive Games Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael Bowling [pdf] [bibtex] [supplemental] [slide] [audio] [correction] Inter-domain Gaussian Processes for Sparse Inference using Inducing Features Miguel Lazaro-Gredilla, Anibal Figueiras-Vidal [pdf] [bibtex] Unsupervised feature learning for audio classification using convolutional deep belief networks Honglak Lee, Peter Pham, Yan Largman, Andrew Ng [pdf] [bibtex] Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning Robert Legenstein, Steven Chase, Andrew Schwartz, Wolfgang Maass [pdf] [bibtex] An Integer Projected Fixed Point Method for Graph Matching and MAP Inference Marius Leordeanu, Martial Hebert, Rahul Sukthankar [pdf] [bibtex] Probabilistic Relational PCA Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang [pdf] [bibtex] [slide] Asymptotically Optimal Regularization in Smooth Parametric Models Percy Liang, Francis Bach, Guillaume Bouchard, Michael Jordan [pdf] [bibtex] Nonparametric Greedy Algorithms for the Sparse Learning Problem Han Liu, Xi Chen [pdf] [bibtex] Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe [pdf] [bibtex] Modeling the spacing effect in sequential category learning Hongjing Lu, Matthew Weiden, Alan Yuille [pdf] [bibtex] Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation Jie Luo, Barbara Caputo, Vittorio Ferrari [pdf] [bibtex] Variational Gaussian-process factor analysis for modeling spatio-temporal data Jaakko Luttinen, Alexander Ilin [pdf] [bibtex] [slide] Occlusive Components Analysis Jörg Lücke, Richard Turner, Maneesh Sahani, Marc Henniges [pdf] [bibtex] [supplemental] [slide] Bayesian estimation of orientation preference maps Jakob Macke, Sebastian Gerwinn, Leonard White, Matthias Kaschube, Matthias Bethge [pdf] [bibtex] Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation Hamid Maei, Csaba Szepesvari, Shalabh Bhatnagar, Doina Precup, David Silver, Rich Sutton [pdf] [bibtex] [slide] [correction] Compressed Least-Squares Regression Odalric Maillard, Remi Munos [pdf] [bibtex] [supplemental] Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships Tomasz Malisiewicz, Alyosha Efros [pdf] [bibtex] Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker [pdf] [bibtex] [supplemental] [slide] Toward Provably Correct Feature Selection in Arbitrary Domains Dimitris Margaritis [pdf] [bibtex] [slide] [audio] FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs Andrew McCallum, Karl Schultz, Sameer Singh [pdf] [bibtex] [slide] Matrix Completion from Power-Law Distributed Samples Raghu Meka, Prateek Jain, Inderjit Dhillon [pdf] [bibtex] Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out Yicong Meng, Bertram Shi [pdf] [bibtex] Nonparametric Latent Feature Models for Link Prediction Kurt Miller, Thomas Griffiths, Michael Jordan [pdf] [bibtex] [slide] Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models Baback Moghaddam, Benjamin Marlin, Emtiyaz Khan, Kevin Murphy [pdf] [bibtex] Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi-Velez, David Knowles, Shakir Mohamed, Zoubin Ghahramani [pdf] [bibtex] Which graphical models are difficult to learn? Andrea Montanari, Jose Ayres Pereira [pdf] [bibtex] [supplemental] A Generalized Natural Actor-Critic Algorithm Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya [pdf] [bibtex] [supplemental] Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory Michael Mozer, Harold Pashler, Nicholas Cepeda, Robert Lindsey, Ed Vul [pdf] [bibtex] [slide] Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data Boaz Nadler, Nathan Srebro, Xueyuan Zhou [pdf] [bibtex] [slide] 3D Object Recognition with Deep Belief Nets Vinod Nair, Geoffrey Hinton [pdf] [bibtex] [slide] A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers Sahand Negahban, Pradeep Ravikumar, Martin Wainwright, Bin Yu [pdf] [bibtex] STDP enables spiking neurons to detect hidden causes of their inputs Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass [pdf] [bibtex] [slide] Noisy Generalized Binary Search Rob Nowak [pdf] [bibtex] Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies Arno Onken, Steffen Grünewälder, Klaus Obermayer [pdf] [bibtex] [supplemental] Construction of Nonparametric Bayesian Models from Parametric Bayes Equations Peter Orbanz [pdf] [bibtex] [supplemental] [slide] Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition Tom Ouyang, Randall Davis [pdf] [bibtex] Submanifold density estimation ARKADAS OZAKIN, Alexander Gray [pdf] [bibtex] Zero-shot Learning with Semantic Output Codes Mark Palatucci, Dean Pomerleau, Geoffrey Hinton, Tom Mitchell [pdf] [bibtex] Conditional Neural Fields Jian Peng, Liefeng Bo, Jinbo Xu [pdf] [bibtex] Free energy score space Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic [pdf] [bibtex] Maximum likelihood trajectories for continuous-time Markov chains Theodore Perkins [pdf] [bibtex] [slide] Robust Value Function Approximation Using Bilinear Programming Marek Petrik, Shlomo Zilberstein [pdf] [bibtex] [slide] Exponential Family Graph Matching and Ranking James Petterson, Tiberio Caetano, Julian McAuley, Jin Yu [pdf] [bibtex] [supplemental] Know Thy Neighbour: A Normative Theory of Synaptic Depression Jean-Pascal Pfister, Peter Dayan, Mate Lengyel [pdf] [bibtex] [supplemental] Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models Jonathan Pillow [pdf] [bibtex] Bilinear classifiers for visual recognition Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes [pdf] [bibtex] [slide] Distribution Matching for Transduction Novi Quadrianto, James Petterson, Alex Smola [pdf] [bibtex] Convex Relaxation of Mixture Regression with Efficient Algorithms Novi Quadrianto, Tiberio Caetano, John Lim, Dale Schuurmans [pdf] [bibtex] [supplemental] Locality-sensitive binary codes from shift-invariant kernels Maxim Raginsky, Svetlana Lazebnik [pdf] [bibtex] Multi-Label Prediction via Sparse Infinite CCA Piyush Rai, Hal Daume [pdf] [bibtex] Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander Gray [pdf] [bibtex] Linear-time Algorithms for Pairwise Statistical Problems Parikshit Ram, Dongryeol Lee, William March, Alexander Gray [pdf] [bibtex] [slide] Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing Sundeep Rangan, Alyson Fletcher, Vivek Goyal [pdf] [bibtex] [slide] Spatial Normalized Gamma Processes Vinayak Rao, Yee Whye Teh [pdf] [bibtex] [slide] Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness Garvesh Raskutti, Martin Wainwright, Bin Yu [pdf] [bibtex] [slide] Segmenting Scenes by Matching Image Composites Bryan Russell, Alyosha Efros, Josef Sivic, Bill Freeman, Andrew Zisserman [pdf] [bibtex] Filtering Abstract Senses From Image Search Results Kate Saenko, Trevor Darrell [pdf] [bibtex] [slide] [audio] Replicated Softmax: an Undirected Topic Model Ruslan Salakhutdinov, Geoffrey Hinton [pdf] [bibtex] Learning in Markov Random Fields using Tempered Transitions Ruslan Salakhutdinov [pdf] [bibtex] Learning models of object structure Joseph Schlecht, Kobus Barnard [pdf] [bibtex] Linearly constrained Bayesian matrix factorization for blind source separation Mikkel Schmidt [pdf] [bibtex] Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing Matthias Seeger [pdf] [bibtex] [supplemental] Improving Existing Fault Recovery Policies Guy Shani, Christopher Meek [pdf] [bibtex] [slide] Positive Semidefinite Metric Learning with Boosting Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel [pdf] [bibtex] Fast subtree kernels on graphs Nino Shervashidze, Karsten Borgwardt [pdf] [bibtex] Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling Lei Shi, Thomas Griffiths [pdf] [bibtex] [slide] Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition Natasha Singh-Miller, Michael Collins [pdf] [bibtex] [slide] Semi-supervised Learning using Sparse Eigenfunction Bases Kaushik Sinha, Mikhail Belkin [pdf] [bibtex] Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions Fabian Sinz, Eero Simoncelli, Matthias Bethge [pdf] [bibtex] [supplemental] A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj [pdf] [bibtex] A Bayesian Analysis of Dynamics in Free Recall Richard Socher, Samuel Gershman, Adler Perotte, Per Sederberg, David Blei, Kenneth Norman [pdf] [bibtex] Kernels and learning curves for Gaussian process regression on random graphs Peter Sollich, Matthew Urry, Camille Coti [pdf] [bibtex] [slide] [correction] Time-Varying Dynamic Bayesian Networks Le Song, Mladen Kolar, Eric Xing [pdf] [bibtex] [supplemental] [slide] Code-specific policy gradient rules for spiking neurons Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner [pdf] [bibtex] Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert Lanckriet, Bernhard Schoelkopf [pdf] [bibtex] [supplemental] On the Convergence of the Concave-Convex Procedure Bharath Sriperumbudur, Gert Lanckriet [pdf] [bibtex] Fast Learning from Non-i.i.d. Observations Ingo Steinwart, Andreas Christmann [pdf] [bibtex] [slide] Structural inference affects depth perception in the context of potential occlusion Ian Stevenson, Konrad Koerding [pdf] [bibtex] [slide] The Wisdom of Crowds in the Recollection of Order Information Mark Steyvers, Michael Lee, Brent Miller, Pernille Hemmer [pdf] [bibtex] [supplemental] Online Learning of Assignments Matthew Streeter, Daniel Golovin, Andreas Krause [pdf] [bibtex] [slide] [audio] Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification Amarnag Subramanya, Jeff Bilmes [pdf] [bibtex] [slide] Efficient Recovery of Jointly Sparse Vectors Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye [pdf] [bibtex] Modelling Relational Data using Bayesian Clustered Tensor Factorization Ilya Sutskever, Ruslan Salakhutdinov, Joshua Tenenbaum [pdf] [bibtex] Adapting to the Shifting Intent of Search Queries Umar Syed, Aleksandrs Slivkins, Nina Mishra [pdf] [bibtex] [slide] Indian Buffet Processes with Power-law Behavior Yee Whye Teh, Dilan Gorur [pdf] [bibtex] [slide] Nonlinear directed acyclic structure learning with weakly additive noise models Robert Tillman, Arthur Gretton, Peter Spirtes [pdf] [bibtex] Compositionality of optimal control laws Emanuel Todorov [pdf] [bibtex] Maximin affinity learning of image segmentation Srinivas Turaga, Kevin Briggman, Moritz Helmstaedter, Winfried Denk, Sebastian Seung [pdf] [bibtex] [slide] Help or Hinder: Bayesian Models of Social Goal Inference Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah Goodman, Joshua Tenenbaum [pdf] [bibtex] Learning to Rank by Optimizing NDCG Measure Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao [pdf] [bibtex] [slide] Gaussian process regression with Student-t likelihood Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari [pdf] [bibtex] [slide] Measuring model complexity with the prior predictive Wolf Vanpaemel [pdf] [bibtex] Structured output regression for detection with partial truncation Andrea Vedaldi, Andrew Zisserman [pdf] [bibtex] Bootstrapping from Game Tree Search Joel Veness, David Silver, William Uther, Alan Blair [pdf] [bibtex] Tracking Dynamic Sources of Malicious Activity at Internet Scale Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen, Oliver Spatscheck [pdf] [bibtex] [slide] Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model Ed Vul, Michael Frank, George Alvarez, Joshua Tenenbaum [pdf] [bibtex] Rethinking LDA: Why Priors Matter Hanna Wallach, David Mimno, Andrew McCallum [pdf] [bibtex] [supplemental] [slide] Variational Inference for the Nested Chinese Restaurant Process Chong Wang, David Blei [pdf] [bibtex] A Rate Distortion Approach for Semi-Supervised Conditional Random Fields Yang Wang, Gholamreza Haffari, Shaojun Wang, Greg Mori [pdf] [bibtex] Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang, David Blei [pdf] [bibtex] [supplemental] [slide] Sufficient Conditions for Agnostic Active Learnable Liwei Wang [pdf] [bibtex] [supplemental] Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation Yusuke Watanabe, Kenji Fukumizu [pdf] [bibtex] [supplemental] [slide] Strategy Grafting in Extensive Games Kevin Waugh, Nolan Bard, Michael Bowling [pdf] [bibtex] Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise Jacob Whitehill, Paul Ruvolo, Ting-fan Wu, Jacob Bergsma, Javier Movellan [pdf] [bibtex] [supplemental] Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference Michael Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum [pdf] [bibtex] [slide] Sequential effects reflect parallel learning of multiple environmental regularities Matthew Wilder, Matt Jones, Michael Mozer [pdf] [bibtex] A Neural Implementation of the Kalman Filter Robert Wilson, Leif Finkel [pdf] [bibtex] [supplemental] Sparse Estimation Using General Likelihoods and Non-Factorial Priors David Wipf, Srikantan Nagarajan [pdf] [bibtex] Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization John Wright, Arvind Ganesh, Shankar Rao, Yigang Peng, Yi Ma [pdf] [bibtex] [supplemental] [correction] Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming Xiao-Ming WU, Anthony Man-Cho So, Zhenguo Li, Shuo-Yen Robert Li [pdf] [bibtex] [slide] Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering Lei Wu, Rong Jin, Steven Chu-Hong Hoi, Jianke Zhu, Nenghai Yu [pdf] [bibtex] Statistical Consistency of Top-k Ranking Fen Xia, Tie-Yan Liu, Hang Li [pdf] [bibtex] Boosting with Spatial Regularization Zhen Xiang, Yongxin Xi, Uri Hasson, Peter Ramadge [pdf] [bibtex] [supplemental] [slide] Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao [pdf] [bibtex] Adaptive Regularization for Transductive Support Vector Machine Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang [pdf] [bibtex] [slide] Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units Feng Yan, Ningyi Xu, Yuan Qi [pdf] [bibtex] Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording Zhi Yang, Qi Zhao, Edward Keefer, Wentai Liu [pdf] [bibtex] [supplemental] [slide] Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora Shuang-Hong Yang, Hongyuan Zha, Bao-gang Hu [pdf] [bibtex] Heterogeneous multitask learning with joint sparsity constraints Xiaolin Yang, Seyoung Kim, Eric Xing [pdf] [bibtex] Heavy-Tailed Symmetric Stochastic Neighbor Embedding Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja [pdf] [bibtex] [slide] Multi-Step Dyna Planning for Policy Evaluation and Control Hengshuai Yao, Rich Sutton, Shalabh Bhatnagar, Dongcui Diao, Csaba Szepesvari [pdf] [bibtex] [supplemental] Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions Bangpeng Yao, Dirk Walther, Diane Beck, Li Fei-Fei [pdf] [bibtex] Conditional Random Fields with High-Order Features for Sequence Labeling Nan Ye, Wee Sun Lee, Hai Leong Chieu, Dan Wu [pdf] [bibtex] [supplemental] Sparse Metric Learning via Smooth Optimization Yiming Ying, Kaizhu Huang, Colin Campbell [pdf] [bibtex] Analysis of SVM with Indefinite Kernels Yiming Ying, Colin Campbell, Mark Girolami [pdf] [bibtex] [slide] Nonlinear Learning using Local Coordinate Coding Kai Yu, Tong Zhang, Yihong Gong [pdf] [bibtex] [supplemental] A General Projection Property for Distribution Families Yao-Liang Yu, Yuxi Li, Dale Schuurmans, Csaba Szepesvari [pdf] [bibtex] [supplemental] Optimal Scoring for Unsupervised Learning Zhihua Zhang, Guang Dai [pdf] [bibtex] Anomaly Detection with Score functions based on Nearest Neighbor Graphs Manqi Zhao, Venkatesh Saligrama [pdf] [bibtex] [slide] DUOL: A Double Updating Approach for Online Learning Peilin Zhao, Steven Chu-Hong Hoi, Rong Jin [pdf] [bibtex] [slide] Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification Wenming Zheng, Zhouchen Lin [pdf] [bibtex] Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation Shuheng Zhou [pdf] [bibtex] Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations Mingyuan Zhou, Haojun Chen, John Paisley, Lu Ren, Guillermo Sapiro, Lawrence Carin [pdf] [bibtex] Efficient Moments-based Permutation Tests Chunxiao Zhou, Huixia Judy Wang, Yongmei Michelle Wang [pdf] [bibtex] Canonical Time Warping for Alignment of Human Behavior Feng Zhou, Fernando De la Torre [pdf] [bibtex] Human Rademacher Complexity Xiaojin Zhu, Timothy Rogers, Bryan Gibson [pdf] [bibtex] [supplemental] [slide] Nonparametric Bayesian Texture Learning and Synthesis Long Zhu, Yuanahao Chen, Bill Freeman, Antonio Torralba [pdf] [bibtex] Slow Learners are Fast Martin Zinkevich, Alex Smola, John Langford [pdf] [bibtex] The 'tree-dependent components' of natural scenes are edge filters Daniel Zoran, Yair Weiss [pdf] [bibtex] |