| 2009 | A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation. Frank D. Wood, Yee Whye Teh |
| 2009 | A New Perspective for Information Theoretic Feature Selection. Gavin Brown |
| 2009 | A kernel method for unsupervised structured network inference. Christoph Lippert, Oliver Stegle, Zoubin Ghahramani, Karsten M. Borgwardt |
| 2009 | Active Learning as Non-Convex Optimization. Andrew Guillory, Erick Chastain, Jeff A. Bilmes |
| 2009 | Active Sensing. Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao |
| 2009 | An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. Matthew Hoffman, Nando de Freitas, Arnaud Doucet, Jan Peters |
| 2009 | An Information Geometry Approach for Distance Metric Learning. Shijun Wang, Rong Jin |
| 2009 | Choosing a Variable to Clamp. Frederik Eaton, Zoubin Ghahramani |
| 2009 | Chromatic PAC-Bayes Bounds for Non-IID Data. Liva Ralaivola, Marie Szafranski, Guillaume Stempfel |
| 2009 | Clusterability: A Theoretical Study. Margareta Ackerman, Shai Ben-David |
| 2009 | Coherence Functions for Multicategory Margin-based Classification Methods. Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung |
| 2009 | Convex Perturbations for Scalable Semidefinite Programming. Brian Kulis, Suvrit Sra, Inderjit S. Dhillon |
| 2009 | Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings. Minyoung Kim, Vladimir Pavlovic |
| 2009 | Data Biased Robust Counter Strategies. Michael Johanson, Michael H. Bowling |
| 2009 | Deep Boltzmann Machines. Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2009 | Deep Learning using Robust Interdependent Codes. Hugo Larochelle, Dumitru Erhan, Pascal Vincent |
| 2009 | Distilled sensing: selective sampling for sparse signal recovery. Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak |
| 2009 | Dual Temporal Difference Learning. Min Yang, Yuxi Li, Dale Schuurmans |
| 2009 | Efficient graphlet kernels for large graph comparison. Nino Shervashidze, S. V. N. Vishwanathan, Tobias Petri, Kurt Mehlhorn, Karsten M. Borgwardt |
| 2009 | Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba |
| 2009 | Estimation Consistency of the Group Lasso and its Applications. Han Liu, Jian Zhang |
| 2009 | Exact and Approximate Sampling by Systematic Stochastic Search. Vikash Mansinghka, Daniel M. Roy, Eric Jonas, Joshua B. Tenenbaum |
| 2009 | Exploiting Probabilistic Independence for Permutations. Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas J. Guibas |
| 2009 | Factorial Mixture of Gaussians and the Marginal Independence Model. Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani |
| 2009 | Gaussian Margin Machines. Koby Crammer, Mehryar Mohri, Fernando Pereira |
| 2009 | Group Nonnegative Matrix Factorization for EEG Classification. Hyekyoung Lee, Seungjin Choi |
| 2009 | Handling Sparsity via the Horseshoe. Carlos M. Carvalho, Nicholas G. Polson, James G. Scott |
| 2009 | Hash Kernels. Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan |
| 2009 | Infinite Hierarchical Hidden Markov Models. Katherine A. Heller, Yee Whye Teh, Dilan Görür |
| 2009 | Inverse Optimal Heuristic Control for Imitation Learning. Nathan D. Ratliff, Brian D. Ziebart, Kevin M. Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa |
| 2009 | Kernel Learning by Unconstrained Optimization. Fuxin Li, Yun-Shan Fu, Yu-Hong Dai, Cristian Sminchisescu, Jue Wang |
| 2009 | Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression. Nicole Krämer, Masashi Sugiyama, Mikio L. Braun |
| 2009 | Large-Margin Structured Prediction via Linear Programming. Zhuoran Wang, John Shawe-Taylor |
| 2009 | Latent Force Models. Mauricio A. Álvarez, David Luengo, Neil D. Lawrence |
| 2009 | Latent Variable Models for Dimensionality Reduction. Zhihua Zhang, Michael I. Jordan |
| 2009 | Latent Wishart Processes for Relational Kernel Learning. Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung |
| 2009 | Learning Exercise Policies for American Options. Yuxi Li, Csaba Szepesvári, Dale Schuurmans |
| 2009 | Learning Low Density Separators. Shai Ben-David, Tyler Lu, Dávid Pál, Miroslava Sotáková |
| 2009 | Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar |
| 2009 | Learning Thin Junction Trees via Graph Cuts. Dafna Shahaf, Carlos Guestrin |
| 2009 | Learning a Parametric Embedding by Preserving Local Structure. Laurens van der Maaten |
| 2009 | Learning the Switching Rate by Discretising Bernoulli Sources Online. Steven de Rooij, Tim van Erven |
| 2009 | Locally Minimax Optimal Predictive Modeling with Bayesian Networks. Tomi Silander, Teemu Roos, Petri Myllymäki |
| 2009 | MCMC Methods for Bayesian Mixtures of Copulas. Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy |
| 2009 | Markov Topic Models. Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei |
| 2009 | Matching Pursuit Kernel Fisher Discriminant Analysis. Tom Diethe, Zakria Hussain, David R. Hardoon, John Shawe-Taylor |
| 2009 | Maximum Entropy Density Estimation with Incomplete Presence-Only Data. Bert Huang, Ansaf Salleb-Aouissi |
| 2009 | Multi-Manifold Semi-Supervised Learning. Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, Robert D. Nowak |
| 2009 | Network Completion and Survey Sampling. Steve Hanneke, Eric P. Xing |
| 2009 | Non-Negative Semi-Supervised Learning. Changhu Wang, Shuicheng Yan, Lei Zhang, HongJiang Zhang |
| 2009 | Novelty detection: Unlabeled data definitely help. Clayton Scott, Gilles Blanchard |
| 2009 | On Partitioning Rules for Bipartite Ranking. Stéphan Clémençon, Nicolas Vayatis |
| 2009 | Online Inference of Topics with Latent Dirichlet Allocation. Kevin Robert Canini, Lei Shi, Thomas L. Griffiths |
| 2009 | Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. Mark Schmidt, Ewout van den Berg, Michael P. Friedlander, Kevin P. Murphy |
| 2009 | PAC-Bayes Analysis Of Maximum Entropy Classification. John Shawe-Taylor, David R. Hardoon |
| 2009 | PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. Yevgeny Seldin, Naftali Tishby |
| 2009 | Particle Belief Propagation. Alexander Ihler, David A. McAllester |
| 2009 | Preface. David A. Van Dyk, Max Welling |
| 2009 | Probabilistic Models for Incomplete Multi-dimensional Arrays. Wei Chu, Zoubin Ghahramani |
| 2009 | Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, AISTATS 2009, Clearwater Beach, Florida, USA, April 16-18, 2009 David A. Van Dyk, Max Welling |
| 2009 | Relational Topic Models for Document Networks. Jonathan D. Chang, David M. Blei |
| 2009 | Relative Novelty Detection. Alexander J. Smola, Le Song, Choon Hui Teo |
| 2009 | Residual Splash for Optimally Parallelizing Belief Propagation. Joseph Gonzalez, Yucheng Low, Carlos Guestrin |
| 2009 | Reversible Jump MCMC for Non-Negative Matrix Factorization. Mingjun Zhong, Mark A. Girolami |
| 2009 | Sampling Techniques for the Nystrom Method. Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar |
| 2009 | Semi-Supervised Affinity Propagation with Instance-Level Constraints. Inmar E. Givoni, Brendan J. Frey |
| 2009 | Sequential Learning of Classifiers for Structured Prediction Problems. Dan Roth, Kevin Small, Ivan Titov |
| 2009 | Sleeping Experts and Bandits with Stochastic Action Availability and Adversarial Rewards. Varun Kanade, H. Brendan McMahan, Brent Bryan |
| 2009 | Spanning Tree Approximations for Conditional Random Fields. Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann |
| 2009 | Sparse Probabilistic Principal Component Analysis. Yue Guan, Jennifer G. Dy |
| 2009 | Speed and Sparsity of Regularized Boosting. Yongxin Taylor Xi, Zhen James Xiang, Peter J. Ramadge, Robert E. Schapire |
| 2009 | Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. Joshua V. Dillon, Guy Lebanon |
| 2009 | Structure Identification by Optimized Interventions. Alberto Giovanni Busetto, Joachim M. Buhmann |
| 2009 | Supervised Spectral Latent Variable Models. Liefeng Bo, Cristian Sminchisescu |
| 2009 | The Block Diagonal Infinite Hidden Markov Model. Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee |
| 2009 | The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, Pascal Vincent |
| 2009 | Tighter and Convex Maximum Margin Clustering. Yufeng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou |
| 2009 | Tractable Bayesian Inference of Time-Series Dependence Structure. Michael Siracusa, John W. Fisher III |
| 2009 | Tractable Search for Learning Exponential Models of Rankings. Bhushan Mandhani, Marina Meila |
| 2009 | Tree Block Coordinate Descent for MAP in Graphical Models. David A. Sontag, Tommi S. Jaakkola |
| 2009 | Tree-Based Inference for Dirichlet Process Mixtures. Yang Xu, Katherine A. Heller, Zoubin Ghahramani |
| 2009 | Variable Metric Stochastic Approximation Theory. Peter Sunehag, Jochen Trumpf, S. V. N. Vishwanathan, Nicol N. Schraudolph |
| 2009 | Variational Bridge Regression. Artin Armagan |
| 2009 | Variational Inference for the Indian Buffet Process. Finale Doshi, Kurt Miller, Jurgen Van Gael, Yee Whye Teh |
| 2009 | Variational Learning of Inducing Variables in Sparse Gaussian Processes. Michalis K. Titsias |
| 2009 | Visualization Databases for the Analysis of Large Complex Datasets. Saptarshi Guha, Paul Kidwell, Ryan Hafen, William S. Cleveland |