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NIPS*2007
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| Note that we have also included links to any supplementary material provided by the authors (see the [supplemental] links), as well as spotlight slides and audio ([slide], [audio]). These materials have NOT been subjected to the formal NIPS review process. |
| Inferring Elapsed Time from Stochastic
Neural Processes Misha Ahrens, Maneesh Sahani [ps.gz] [pdf] [bibtex] Fitted Q-iteration in continuous action-space MDPs András Antos, Remi Munos, Csaba Szepesvari [ps.gz] [pdf] [bibtex] [slide] Variational Inference for Diffusion Processes Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor [ps.gz] [pdf] [bibtex] [slide] [correction] A Spectral Regularization Framework for Multi-Task Structure Learning Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying [ps.gz] [pdf] [bibtex] [slide] Random Sampling of States in Dynamic Programming Chris Atkeson, Benjamin Stephens [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Progressive mixture rules are deviation suboptimal Jean-Yves Audibert [ps.gz] [pdf] [bibtex] [slide] [audio] DIFFRAC: a discriminative and flexible framework for clustering Francis Bach, Zaid Harchaoui [ps.gz] [pdf] [bibtex] Optimal ROC Curve for a Combination of Classifiers Marco Barreno, Alvaro Cardenas, J. D. Tygar [ps.gz] [pdf] [bibtex] [slide] Adaptive Online Gradient Descent Peter Bartlett, Elad Hazan, Alexander Rakhlin [ps.gz] [pdf] [bibtex] One-Pass Boosting Zafer Barutcuoglu, Phil Long, Rocco Servedio [ps.gz] [pdf] [bibtex] [supplemental] [slide] Comparing Bayesian models for multisensory cue combination without mandatory integration Ulrik Beierholm, Konrad Kording, Ladan Shams, Wei Ji Ma [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] On Sparsity and Overcompleteness in Image Models Pietro Berkes, Richard Turner, Maneesh Sahani [ps.gz] [pdf] [bibtex] [slide] Near-Maximum Entropy Models for Binary Neural Representations of Natural Images Matthias Bethge, Philipp Berens [ps.gz] [pdf] [bibtex] [supplemental] [slide] Incremental Natural Actor-Critic Algorithms Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh, Mark Lee [ps.gz] [pdf] [bibtex] [slide] Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Vadim Nikulin, Klaus-Robert Müller [ps.gz] [pdf] [bibtex] [slide] Supervised Topic Models David Blei, Jon McAuliffe [ps.gz] [pdf] [bibtex] [slide] [audio] Learning Bounds for Domain Adaptation John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Feature Selection Methods for Improving Protein Structure Prediction with Rosetta Ben Blum, Michael Jordan, David Kim, Rhiju Das, Philip Bradley, David Baker [ps.gz] [pdf] [bibtex] [slide] [audio] Multi-task Gaussian Process Prediction Edwin Bonilla, Kian Ming Chai, Chris Williams [ps.gz] [pdf] [bibtex] [correction] [slide] The Tradeoffs of Large Scale Learning Leon Bottou, Olivier Bousquet [ps.gz] [pdf] [bibtex] A Probabilistic Approach to Language Change Alexandre Bouchard-Côté, Percy Liang, Thomas Griffiths, Dan Klein [ps.gz] [pdf] [bibtex] Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila [ps.gz] [pdf] [bibtex] [supplemental] FilterBoost: Regression and Classification on Large Datasets Joseph K Bradley, Robert Schapire [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass [ps.gz] [pdf] [bibtex] [supplemental] [slide] The Distribution Family of Similarity Distances Gertjan Burghouts, Arnold Smeulders, Jan-Mark Geusebroek [ps.gz] [pdf] [bibtex] Discriminative Keyword Selection Using Support Vector Machines William Campbell, Fred Richardson [ps.gz] [pdf] [bibtex] Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks Ben Carterette, Rosie Jones [ps.gz] [pdf] [bibtex] [slide] Subspace-Based Face Recognition in Analog VLSI Gonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa [ps.gz] [pdf] [bibtex] [supplemental] [slide] A learning framework for nearest neighbor search Lawrence Cayton, Sanjoy Dasgupta [ps.gz] [pdf] [bibtex] [slide] Predicting human gaze using low-level saliency combined with face detection Moran Cerf, Jonathan Harel, Wolfgang Einhaeuser, Christof Koch [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis Venkat Chandrasekaran, Jason Johnson, Alan Willsky [ps.gz] [pdf] [bibtex] Parallelizing Support Vector Machines on Distributed Computers Edward Chang, Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui [ps.gz] [pdf] [bibtex] Augmented Functional Time Series Representation and Forecasting with Gaussian Processes Nicolas Chapados, Yoshua Bengio [ps.gz] [pdf] [bibtex] [supplemental] [slide] Efficient Principled Learning of Thin Junction Trees Anton Chechetka, Carlos Guestrin [ps.gz] [pdf] [bibtex] [slide] [audio] Regularized Boost for Semi-Supervised Learning Ke Chen, Shihai Wang [ps.gz] [pdf] [bibtex] [slide] Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing Yuanhao Chen, Long Zhu, Chenxi Lin, Alan Yuille, Hongjiang Zhang [ps.gz] [pdf] [bibtex] Cooled and Relaxed Survey Propagation for MRFs Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh [ps.gz] [pdf] [bibtex] [slide] How SVMs can estimate quantiles and the median Andreas CHRISTMANN, Ingo Steinwart [ps.gz] [pdf] [bibtex] [slide] Second Order Bilinear Discriminant Analysis for single trial EEG analysis Christoforos Christoforou, Paul Sajda, Lucas C. Parra [ps.gz] [pdf] [bibtex] An online Hebbian learning rule that performs Independent Component Analysis Claudia Clopath, André Longtin, Wulfram Gerstner [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes John Cunningham, Byron Yu, Krishna Shenoy, Maneesh Sahani [ps.gz] [pdf] [bibtex] [slide] [audio] TrueSkill Through Time: Revisiting the History of Chess Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel [ps.gz] [pdf] [bibtex] [slide] The Price of Bandit Information for Online Optimization Varsha Dani, Thomas Hayes, Sham Kakade [ps.gz] [pdf] [bibtex] A general agnostic active learning algorithm Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni [ps.gz] [pdf] [bibtex] [slide] Measuring Neural Synchrony by Message Passing Justin Dauwels, François Vialatte, Tomasz Rutkowski, Andrzej Cichocki [ps.gz] [pdf] [bibtex] [slide] The rat as particle filter Nathaniel Daw, Aaron Courville [ps.gz] [pdf] [bibtex] [slide] Efficient multiple hyperparameter learning for log-linear models Chuong Do, Chuan-Sheng Foo, Andrew Ng [ps.gz] [pdf] [bibtex] [slide] [audio] Automatic Generation of Social Tags for Music Recommendation Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, Stephen Green [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms Dominik Endres, Mike Oram, Johannes Schindelin, Peter Foldiak [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] A probabilistic model for generating realistic lip movements from speech Gwenn Englebienne, Tim Cootes, Magnus Rattray [ps.gz] [pdf] [bibtex] Active Preference Learning with Discrete Choice Data Brochu Eric, Nando De Freitas, Abhijeet Ghosh [ps.gz] [pdf] [bibtex] Catching Up Faster in Bayesian Model Selection and Model Averaging Tim Van Erven, Peter Grunwald, Steven De Rooij [ps.gz] [pdf] [bibtex] [slide] [audio] Anytime Induction of Cost-sensitive Trees Saher Esmeir, Shaul Markovitch [ps.gz] [pdf] [bibtex] [slide] Learning Visual Attributes Vittorio Ferrari, Andrew Zisserman [ps.gz] [pdf] [bibtex] [slide] EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection Pierre Ferrez, José del R. Millán [ps.gz] [pdf] [bibtex] [supplemental] [slide] Optimal models of sound localization by barn owls Brian Fischer [ps.gz] [pdf] [bibtex] [supplemental] [slide] A Bayesian Framework for Cross-Situational Word-Learning Michael Frank, Noah Goodman, Joshua Tenenbaum [ps.gz] [pdf] [bibtex] [supplemental] [slide] Sequential Hypothesis Testing under Stochastic Deadlines Peter Frazier, Angela Yu [ps.gz] [pdf] [bibtex] [slide] Learning the structure of manifolds using random projections Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma [ps.gz] [pdf] [bibtex] Discovering Weakly-Interacting Factors in a Complex Stochastic Process Charlie Frogner, Avi Pfeffer [ps.gz] [pdf] [bibtex] [slide] Kernel Measures of Conditional Dependence Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf [ps.gz] [pdf] [bibtex] [supplemental] [slide] The discriminant center-surround hypothesis for bottom-up saliency Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Learning Horizontal Connections in a Sparse Coding Model of Natural Images Pierre Garrigues, Bruno Olshausen [ps.gz] [pdf] [bibtex] [supplemental] Iterative Non-linear Dimensionality Reduction with Manifold Sculpting Michael Gashler, Dan Ventura, Tony Martinez [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] On higher-order perceptron algorithms Claudio Gentile, Fabio Vitale, Cristian Brotto [ps.gz] [pdf] [bibtex] Bayesian Inference for Spiking Neuron Models with a Sparsity Prior Sebastian Gerwinn, Jakob Macke, Matthias Seeger, Matthias Bethge [ps.gz] [pdf] [bibtex] [slide] Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans [ps.gz] [pdf] [bibtex] A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses Massimiliano Giulioni, Mario Pannunzi, Davide Badoni, Vittorio Dante, Paolo Del giudice [ps.gz] [pdf] [bibtex] [slide] Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations Amir Globerson, Tommi Jaakkola [ps.gz] [pdf] [bibtex] Competition Adds Complexity Judy Goldsmith, Martin Mundhenk [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Expectation Maximization and Posterior Constraints Joao Graca, Kuzman Ganchev, Ben Taskar [ps.gz] [pdf] [bibtex] [slide] [audio] Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks Alex Graves, Santiago Fernandez, Marcus Liwicki, Horst Bunke, Juergen Schmidhuber [ps.gz] [pdf] [bibtex] [slide] A Kernel Statistical Test of Independence Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex Smola [ps.gz] [pdf] [bibtex] [slide] Discriminative Batch Mode Active Learning Yuhong Guo, Dale Schuurmans [ps.gz] [pdf] [bibtex] [slide] Convex Relaxations of Latent Variable Training Yuhong Guo, Dale Schuurmans [ps.gz] [pdf] [bibtex] [slide] Testing for Homogeneity with Kernel Fisher Discriminant Analysis Zaid Harchaoui, Francis Bach, Moulines Eric [ps.gz] [pdf] [bibtex] Catching Change-points with Lasso Zaid Harchaoui, Céline LEVY-LEDUC [ps.gz] [pdf] [bibtex] Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria Elad Hazan, Satyen Kale [ps.gz] [pdf] [bibtex] Nearest-Neighbor-Based Active Learning for Rare Category Detection Jingrui He, Jaime Carbonell [ps.gz] [pdf] [bibtex] [slide] [audio] Random Projections for Manifold Learning Chinmay Hegde, Michael Wakin, Richard Baraniuk [ps.gz] [pdf] [bibtex] [supplemental] Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach José Miguel Hernández-Lobato, Tjeerd Dijkstra, Tom Heskes [ps.gz] [pdf] [bibtex] [slide] [audio] Modeling homophily and stochastic equivalence in symmetric relational data Peter Hoff [ps.gz] [pdf] [bibtex] Bayesian Policy Learning with Trans-Dimensional MCMC Matthew Hoffman, Arnaud Doucet, Nando De Freitas, Ajay Jasra [ps.gz] [pdf] [bibtex] [slide] Ultrafast Monte Carlo for Statistical Summations Michael Holmes, Alexander Gray, Charles Isbell [ps.gz] [pdf] [bibtex] Learning Monotonic Transformations for Classification Andrew Howard, Tony Jebara [ps.gz] [pdf] [bibtex] [slide] [audio] What makes some POMDP problems easy to approximate? David Hsu, Wee Sun Lee, Nan Rong [ps.gz] [pdf] [bibtex] [slide] Efficient Inference for Distributions on Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Temporal Difference Updating without a Learning Rate Marcus Hutter, Shane Legg [ps.gz] [pdf] [bibtex] [supplemental] [slide] Density Estimation under Independent Similarly Distributed Sampling Assumptions Tony Jebara, Yingbo Song, Kapil Thadani [ps.gz] [pdf] [bibtex] [slide] [audio] Computing Robust Counter-Strategies Michael Johanson, Martin Zinkevich, Michael Bowling [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Local Algorithms for Approximate Inference in Minor-Excluded Graphs Kyomin Jung, Devavrat Shah [ps.gz] [pdf] [bibtex] [supplemental] Multi-Task Learning via Conic Programming Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai [ps.gz] [pdf] [bibtex] [slide] Privacy-Preserving Belief Propagation and Sampling Michael Kearns, Jinsong Tan, Jennifer Wortman [ps.gz] [pdf] [bibtex] [supplemental] [slide] Learning and using relational theories Charles Kemp, Noah Goodman, Joshua Tenenbaum [ps.gz] [pdf] [bibtex] [slide] Learning with Tree-Averaged Densities and Distributions Sergey Kirshner [ps.gz] [pdf] [bibtex] Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion J. Zico Kolter, Pieter Abbeel, Andrew Ng [ps.gz] [pdf] [bibtex] [slide] [audio] Selecting Observations against Adversarial Objectives Andreas Krause, Brendan McMahan, Carlos Guestrin, Anupam Gupta [ps.gz] [pdf] [bibtex] [slide] [audio] Structured Learning with Approximate Inference Alex Kulesza, Fernando Pereira [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] A Randomized Algorithm for Large Scale Support Vector Learning Krishnan Kumar, Chiru Bhattacharya, Ramesh Hariharan [ps.gz] [pdf] [bibtex] [slide] Statistical Analysis of Semi-Supervised Regression John Lafferty, Larry Wasserman [ps.gz] [pdf] [bibtex] [slide] Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination Yiu Man Lam, Bertram Shi [ps.gz] [pdf] [bibtex] [slide] [audio] The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information John Langford, Tong Zhang [ps.gz] [pdf] [bibtex] Convex Clustering with Exemplar-Based Models Danial Lashkari, Polina Golland [ps.gz] [pdf] [bibtex] [slide] Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods Alessandro Lazaric, Marcello Restelli, Andrea Bonarini [ps.gz] [pdf] [bibtex] [slide] [audio] Non-parametric Modeling of Partially Ranked Data Guy Lebanon, Yi Mao [ps.gz] [pdf] [bibtex] Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains Andrea Lecchini-Visintini, John Lygeros, Jan Maciejowski [ps.gz] [pdf] [bibtex] [slide] [audio] Sparse deep belief net model for visual area V2 Honglak Lee, Chaitanya Ekanadham, Andrew Ng [ps.gz] [pdf] [bibtex] [slide] Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity Robert Legenstein, Dejan Pecevski, Wolfgang Maass [ps.gz] [pdf] [bibtex] [slide] Hippocampal Contributions to Control: The Third Way Máté Lengyel, Peter Dayan [ps.gz] [pdf] [bibtex] [supplemental] A Unified Near-Optimal Estimator For Dimension Reduction in $l_alpha$ ($0<alphaleq 2$) Using Stable Random Projections Ping Li, Trevor Hastie [ps.gz] [pdf] [bibtex] McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li, Christopher Burges, Qiang Wu [ps.gz] [pdf] [bibtex] [slide] Agreement-Based Learning Percy Liang, Dan Klein, Michael Jordan [ps.gz] [pdf] [bibtex] [slide] Blind channel identification for speech dereverberation using l1-norm sparse learning Yuanqing Lin, Jingdong Chen, Youngmoo Kim, Daniel Lee [ps.gz] [pdf] [bibtex] Mining Internet-Scale Software Repositories Erik Linstead, Paul Rigor, Sushil Bajracharya, Cristina Lopes, Pierre Baldi [ps.gz] [pdf] [bibtex] [slide] [audio] Semi-Supervised Multitask Learning Qiuhua Liu, Xuejun Liao, Lawrence Carin [ps.gz] [pdf] [bibtex] [slide] Boosting the Area under the ROC Curve Phil Long, Rocco Servedio [ps.gz] [pdf] [bibtex] [supplemental] [slide] People Tracking with the Laplacian Eigenmaps Latent Variable Model Zhengdong Lu, Miguel Carreira-Perpinan, Cristian Sminchisescu [ps.gz] [pdf] [bibtex] [slide] [audio] Support Vector Machine Classification with Indefinite Kernels Ronny Luss, Alexandre DAspremont [ps.gz] [pdf] [bibtex] Consistent Minimization of Clustering Objective Functions Ulrike Von Luxburg, Sebastien Bubeck, Stefanie Jegelka, Michael Kaufmann [ps.gz] [pdf] [bibtex] [slide] Receptive Fields without Spike-Triggering Jakob Macke, Guenther Zeck, Matthias Bethge [ps.gz] [pdf] [bibtex] [slide] Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition Maryam Mahdaviani, Tanzeem Choudhury [ps.gz] [pdf] [bibtex] [supplemental] [slide] Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations M. M. Mahmud, Sylvian Ray [ps.gz] [pdf] [bibtex] [slide] Scan Strategies for Meteorological Radars Victoria Manfredi, Jim Kurose [ps.gz] [pdf] [bibtex] [slide] A neural network implementing optimal state estimation based on dynamic spike train decoding Omer Bobrowski , Ron Meir, Shy Shoham, Yonina Eldar [ps.gz] [pdf] [bibtex] [slide] Locality and low-dimensions in the prediction of natural experience from fMRI Francois Meyer, Greg Stephens [ps.gz] [pdf] [bibtex] Learning to classify complex patterns using a VLSI network of spiking neurons Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi [ps.gz] [pdf] [bibtex] [slide] The Infinite Markov Model Daichi Mochihashi, Eiichiro Sumita [ps.gz] [pdf] [bibtex] [slide] Stability Bounds for Non-i.i.d. Processes Mehryar Mohri, Afshin Rostamizadeh [ps.gz] [pdf] [bibtex] [slide] [audio] Experience-Guided Search: A Theory of Attentional Control Michael Mozer, David Baldwin [ps.gz] [pdf] [bibtex] [slide] An Analysis of Convex Relaxations for MAP Estimation Pawan Mudigonda, Vladimir Kolmogorov, Philip Torr [ps.gz] [pdf] [bibtex] [supplemental] Continuous Time Particle Filtering for fMRI Lawrence Murray, Amos Storkey [ps.gz] [pdf] [bibtex] Robust Regression with Twinned Gaussian Processes Andrew Naish-Guzman, Sean Holden [ps.gz] [pdf] [bibtex] The Generalized FITC Approximation Andrew Naish-Guzman, Sean Holden [ps.gz] [pdf] [bibtex] [supplemental] [slide] Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Jean-Jeacques Slotine, Rodney Douglas [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling [ps.gz] [pdf] [bibtex] [slide] Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization XuanLong Nguyen, Martin Wainwright, Michael Jordan [ps.gz] [pdf] [bibtex] [supplemental] [slide] Heterogeneous Component Analysis Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii [ps.gz] [pdf] [bibtex] [slide] Variational inference for Markov jump processes Manfred Opper, Guido Sanguinetti [ps.gz] [pdf] [bibtex] [slide] CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation Luis E. Ortiz [ps.gz] [pdf] [bibtex] [slide] [audio] Modeling image patches with a directed hierarchy of Markov random fields Simon Osindero, Geoffrey Hinton [ps.gz] [pdf] [bibtex] [slide] [audio] Kernels on Attributed Pointsets with Applications Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya, K. R. Ramakrishnan [ps.gz] [pdf] [bibtex] [slide] A Risk Minimization Principle for a Class of Parzen Estimators Kristiaan Pelckmans, Johan Suykens, Bart De Moor [ps.gz] [pdf] [bibtex] [slide] Congruence between model and human attention reveals unique signatures of critical visual events Robert Peters, Laurent Itti [ps.gz] [pdf] [bibtex] [slide] [audio] Discriminative Log-Linear Grammars with Latent Variables Slav Petrov, Dan Klein [ps.gz] [pdf] [bibtex] [slide] Neural characterization in partially observed populations of spiking neurons Jonathan Pillow, Peter Latham [ps.gz] [pdf] [bibtex] [slide] [audio] Fast Variational Inference for Large-scale Internet Diagnosis John Platt, Emre Kiciman, David Maltz [ps.gz] [pdf] [bibtex] [slide] Random Features for Large-Scale Kernel Machines Ali Rahimi, Benjamin Recht [ps.gz] [pdf] [bibtex] [slide] Sparse Feature Learning for Deep Belief Networks MarcAurelio Ranzato, Y-Lan Boureau, Yann LeCun [ps.gz] [pdf] [bibtex] [slide] [audio] Retrieved context and the discovery of semantic structure Vinayak Rao, Marc Howard [ps.gz] [pdf] [bibtex] [slide] [audio] SpAM: Sparse Additive Models Pradeep Ravikumar, Han Liu, John Lafferty, Larry Wasserman [ps.gz] [pdf] [bibtex] [slide] On Ranking in Survival Analysis: Bounds on the Concordance Index Vikas Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin [ps.gz] [pdf] [bibtex] [slide] GRIFT: A graphical model for inferring visual classification features from human data Michael Ross, Andrew Cohen [ps.gz] [pdf] [bibtex] [slide] [audio] Bayes-Adaptive POMDPs Stephane Ross, Brahim Chaib-draa, Joelle Pineau [ps.gz] [pdf] [bibtex] [slide] Theoretical Analysis of Heuristic Search Methods for Online POMDPs Stephane Ross, Joelle Pineau, Brahim Chaib-draa [ps.gz] [pdf] [bibtex] Learning the 2-D Topology of Images Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl [ps.gz] [pdf] [bibtex] [slide] Topmoumoute Online Natural Gradient Algorithm Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio [ps.gz] [pdf] [bibtex] Object Recognition by Scene Alignment Bryan Russell, Antonio Torralba, Ce Liu, Rob Fergus, William Freeman [ps.gz] [pdf] [bibtex] [slide] Probabilistic Matrix Factorization Ruslan Salakhutdinov, Andriy Mnih [ps.gz] [pdf] [bibtex] [slide] Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes Ruslan Salakhutdinov, Geoffrey Hinton [ps.gz] [pdf] [bibtex] [slide] Markov Chain Monte Carlo with People Adam Sanborn, Thomas Griffiths [ps.gz] [pdf] [bibtex] Linear programming analysis of loopy belief propagation for weighted matching Sujay Sanghavi, Dmitry Malioutov, Alan Willsky [ps.gz] [pdf] [bibtex] [slide] Message Passing for Max-weight Independent Set Sujay Sanghavi, Devavrat Shah, Alan Willsky [ps.gz] [pdf] [bibtex] [slide] Multiple-Instance Active Learning Burr Settles, Mark Craven, Soumya Ray [ps.gz] [pdf] [bibtex] [slide] Cluster Stability for Finite Samples Ohad Shamir, Naftali Tishby [ps.gz] [pdf] [bibtex] [supplemental] Better than least squares: comparison of objective functions for estimating linear-nonlinear models Tatyana Sharpee [ps.gz] [pdf] [bibtex] [slide] Sparse Overcomplete Latent Variable Decomposition of Counts Data Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis [ps.gz] [pdf] [bibtex] [supplemental] Collective Inference on Markov Models for Modeling Bird Migration Daniel Sheldon, M.A. Saleh Elmohamed, Dexter Kozen [ps.gz] [pdf] [bibtex] [slide] [audio] A Constraint Generation Approach to Learning Stable Linear Dynamical Systems Sajid Siddiqi, Byron Boots, Geoffrey Gordon [ps.gz] [pdf] [bibtex] [slide] [audio] Combined discriminative and generative articulated pose and non-rigid shape estimation Leonid Sigal, Alexandru Balan , Michael Black [ps.gz] [pdf] [bibtex] [slide] [audio] Hidden Common Cause Relations in Relational Learning Ricardo Silva, Wei Chu, Zoubin Ghahramani [ps.gz] [pdf] [bibtex] [slide] Ensemble Clustering using Semidefinite Programming Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu [ps.gz] [pdf] [bibtex] [supplemental] [slide] [audio] The Value of Labeled and Unlabeled Examples when the Model is Imperfect Kaushik Sinha, Mikhail Belkin [ps.gz] [pdf] [bibtex] [slide] An Analysis of Inference with the Universum Fabian Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf [ps.gz] [pdf] [bibtex] [supplemental] [slide] Bundle Methods for Machine Learning Alex Smola, S V N Vishwanathan, Quoc Le [ps.gz] [pdf] [bibtex] [slide] Colored Maximum Variance Unfolding Le Song, Alex Smola, Karsten Borgwardt, Arthur Gretton [ps.gz] [pdf] [bibtex] [supplemental] [slide] New Outer Bounds on the Marginal Polytope David Sontag, Tommi Jaakkola [ps.gz] [pdf] [bibtex] An in-silico Neural Model of Dynamic Routing through Neuronal Coherence Devarajan Sridharan, Brian Percival, John Arthur, Kwabena Boahen [ps.gz] [pdf] [bibtex] [slide] [audio] A Bayesian Model of Conditioned Perception Alan Stocker, Eero Simoncelli [ps.gz] [pdf] [bibtex] Online Linear Regression and Its Application to Model-Based Reinforcement Learning Alexander Strehl, Michael Littman [ps.gz] [pdf] [bibtex] Loop Series and Bethe Variational Bounds in Attractive Graphical Models Erik Sudderth, Martin Wainwright, Alan Willsky [ps.gz] [pdf] [bibtex] Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul Von Buenau, Motoaki Kawanabe [ps.gz] [pdf] [bibtex] Efficient Bayesian Inference for Dynamically Changing Graphs Ozgur Sumer, Umut Acar, Alexander T. Ihler, Ramgopal R. 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