@InProceedings{icml2009_001,
  author =    {Ryan Adams and Zoubin Ghahramani},
  title =     {{Archipelago}: Nonparametric {Bayesian} Semi-Supervised Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1--8},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_002,
  author =    {Ryan Adams and Iain Murray and David MacKay},
  title =     {Tractable Nonparametric {Bayesian} Inference in Poisson Processes with Gaussian Process Intensities},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {9--16},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_003,
  author =    {Fabio Aiolli and Giovanni Da San Martino and Alessandro Sperduti},
  title =     {Route Kernels for Trees},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {17--24},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_004,
  author =    {David Andrzejewski and Xiaojin Zhu and Mark Craven},
  title =     {Incorporating Domain Knowledge into Topic Modeling via {Dirichlet} Forest Priors},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {25--32},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_005,
  author =    {Rapha\"{e}l Bailly and François Denis and Liva Ralaivola},
  title =     {Grammatical Inference as a Principal Component Analysis Problem},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {33--40},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_006,
  author =    {Yoshua Bengio and J\'{e}rôme Louradour and Ronan Collobert and Jason Weston},
  title =     {Curriculum Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {41--48},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_007,
  author =    {Alina Beygelzimer and Sanjoy Dasgupta and John Langford},
  title =     {Importance Weighted Active Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {49--56},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_008,
  author =    {Guillaume Bouchard and Onno Zoeter},
  title =     {Split Variational Inference},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {57--64},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_009,
  author =    {Abdeslam Boularias and Brahim Chaib-draa},
  title =     {Predictive Representations for Policy Gradient in {POMDPs}},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {65--72},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_010,
  author =    {Craig Boutilier and Kevin Regan and Paolo Viappiani},
  title =     {Online Feature Elicitation in Interactive Optimization},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {73--80},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_011,
  author =    {Thomas B\"{u}hler and Matthias Hein},
  title =     {Spectral Clustering Based on the Graph p-Laplacian},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {81--88},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_012,
  author =    {Michael Burl and Esther Wang},
  title =     {Active Learning for Directed Exploration of Complex Systems},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {89--96},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_013,
  author =    {Alberto Giovanni Busetto and Cheng Soon Ong and Joachim M. Buhmann},
  title =     {Optimized Expected Information Gain for Nonlinear Dynamical Systems},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {97--104},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_014,
  author =    {Deng Cai and Xuanhui Wang and Xiaofei He},
  title =     {Probabilistic Dyadic Data Analysis with Local and Global Consistency},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {105--112},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_015,
  author =    {Cassio de Campos and Zhi Zeng and Qiang Ji},
  title =     {Structure Learning of {Bayesian} Networks using Constraints},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {113--120},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_016,
  author =    {Nicol\`{o} Cesa-Bianchi and Claudio Gentile and Francesco Orabona},
  title =     {Robust Bounds for Classification via Selective Sampling},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {121--128},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_017,
  author =    {Kamalika Chaudhuri and Sham Kakade and Karen Livescu and Karthik Sridharan},
  title =     {Multi-View Clustering via Canonical Correlation Analysis},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {129--136},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_018,
  author =    {Jianhui Chen and Lei Tang and Jun Liu and Jieping Ye},
  title =     {A Convex Formulation for Learning Shared Structures from Multiple Tasks},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {137--144},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_019,
  author =    {Yihua Chen and Maya Gupta and Benjamin Recht},
  title =     {Learning Kernels from Indefinite Similarities},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {145--152},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_020,
  author =    {Chih-Chieh Cheng and Fei Sha and Lawrence Saul},
  title =     {Matrix Updates for Perceptron Training of Continuous Density Hidden {Markov} Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {153--160},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_021,
  author =    {Weiwei Cheng and Jens H\"{u}hn and Eyke H\"{u}llermeier},
  title =     {Decision Tree and Instance-Based Learning for Label Ranking},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {161--168},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_022,
  author =    {Youngmin Cho and Lawrence Saul},
  title =     {Learning Dictionaries of Stable Autoregressive Models for Audio Scene Analysis},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {169--176},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_023,
  author =    {Myung Jin Choi and Venkat Chandrasekaran and Alan Willsky},
  title =     {Exploiting Sparse {Markov} and Covariance Structure in Multiresolution Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {177--184},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_024,
  author =    {St\'{e}phan Cl\'{e}men\c{c}on and Nicolas Vayatis},
  title =     {Nonparametric Estimation of the Precision-Recall Curve},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {185--192},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_025,
  author =    {Wenyuan Dai and Ou Jin and Gui-Rong Xue and Qiang Yang and Yong Yu},
  title =     {EigenTransfer: A Unified Framework for Transfer Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {193--200},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_026,
  author =    {Samuel Daitch and Jonathan Kelner and Daniel Spielman},
  title =     {Fitting a Graph to Vector Data},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {201--208},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_027,
  author =    {Hal Daum\'{e} III},
  title =     {Unsupervised Search-Based Structured Prediction},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {209--216},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_028,
  author =    {Jesse Davis and Pedro Domingos},
  title =     {Deep Transfer via Second-Order {Markov} Logic},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {217--224},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_029,
  author =    {Marc Peter Deisenroth and Marco F. Huber and Uwe D. Hanebeck},
  title =     {Analytic Moment-Based Gaussian Process Filtering},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {225--232},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_030,
  author =    {Ofer Dekel and Ohad Shamir},
  title =     {Good Learners for Evil Teachers},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {233--240},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_031,
  author =    {Meghana Deodhar and Joydeep Ghosh and Gunjan Gupta and Hyuk Cho and Inderjit Dhillon},
  title =     {A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {241--248},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_032,
  author =    {Carlos Diuk and Lihong Li and Bethany Leffler},
  title =     {The Adaptive k-Meteorologists Problem and Its Application to Structure Learning and Feature Selection in Reinforcement Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {249--256},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_033,
  author =    {Chuong Do and Quoc Le and Chuan-Sheng Foo},
  title =     {Proximal Regularization for Online and Batch Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {257--264},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_034,
  author =    {Trinh-Minh-Tri Do and Thierry Arti\`{e}res},
  title =     {Large Margin Training for Hidden {Markov} Models with Partially Observed States},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {265--272},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_035,
  author =    {Finale Doshi-Velez and Zoubin Ghahramani},
  title =     {Accelerated Gibbs Sampling for the {Indian} Buffet Process},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {273--280},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_036,
  author =    {Gabriel Doyle and Charles Elkan},
  title =     {Accounting for Burstiness in Topic Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {281--288},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_037,
  author =    {Lixin Duan and Ivor W. Tsang and Dong Xu and Tat-Seng Chua},
  title =     {Domain Adaptation from Multiple Sources via Auxiliary Classifiers},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {289--296},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_038,
  author =    {John Duchi and Yoram Singer},
  title =     {Boosting with Structural Sparsity},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {297--304},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_039,
  author =    {Alireza Farhangfar and Russ Greiner and Csaba Szepesv\'{a}ri},
  title =     {Learning to Segment from a Few Well-Selected Training Images},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {305--312},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_040,
  author =    {M. Julia Flores and Jos\'{e} A. G\'{a}mez and Ana M. Martínez and Jos\'{e} M. Puerta},
  title =     {{GAODE} and {HAODE}: Two Proposals Based on {AODE} to Deal with Continuous Variables},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {313--320},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_041,
  author =    {Chuan-Sheng Foo and Chuong Do and Andrew Ng},
  title =     {A Majorization-Minimization Algorithm for (Multiple) Hyperparameter Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {321--328},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_042,
  author =    {Wenjie Fu and Le Song and Eric Xing},
  title =     {Dynamic Mixed Membership Blockmodel for Evolving Networks},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {329--336},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_043,
  author =    {Rahul Garg and Rohit Khandekar},
  title =     {Gradient Descent with Sparsification: An Iterative Algorithm for Sparse Recovery with Restricted Isometry Property},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {337--344},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_044,
  author =    {Roman Garnett and Michael Osborne and Stephen Roberts},
  title =     {Sequential {Bayesian} Prediction in the Presence of Changepoints},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {345--352},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_045,
  author =    {Pascal Germain and Alexandre Lacasse and François Laviolette and Mario Marchand},
  title =     {{PAC-Bayesian} Learning of Linear Classifiers},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {353--360},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_046,
  author =    {Fabian Gieseke and Tapio Pahikkala and Oliver Kramer},
  title =     {Fast Evolutionary Maximum Margin Clustering},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {361--368},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_047,
  author =    {Eduardo Rodrigues Gomes and Ryszard Kowalczyk},
  title =     {Dynamic Analysis of Multiagent {Q-learning} with {$\epsilon$-greedy} Exploration},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {369--376},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_048,
  author =    {John Guiver and Edward Snelson},
  title =     {Bayesian Inference for Plackett-Luce Ranking Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {377--384},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_049,
  author =    {Peter Haider and Tobias Scheffer},
  title =     {Bayesian Clustering for Email Campaign Detection},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {385--392},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_050,
  author =    {Elad Hazan and C. Seshadhri},
  title =     {Efficient Learning Algorithms for Changing Environments},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {393--400},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_051,
  author =    {Verena Heidrich-Meisner and Christian Igel},
  title =     {Hoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct Policy Search},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {401--408},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_052,
  author =    {Thibault Helleputte and Pierre Dupont},
  title =     {Partially Supervised Feature Selection with Regularized Linear Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {409--416},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_053,
  author =    {Junzhou Huang and Tong Zhang and Dimitris Metaxas},
  title =     {Learning with Structured Sparsity},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {417--424},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_054,
  author =    {Tzu-Kuo Huang and Jeff Schneider},
  title =     {Learning Linear Dynamical Systems without Sequence Information},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {425--432},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_055,
  author =    {Laurent Jacob and Guillaume Obozinski and Jean-Philippe Vert},
  title =     {Group Lasso with Overlaps and Graph Lasso},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {433--440},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_056,
  author =    {Tony Jebara and Jun Wang and Shih-Fu Chang},
  title =     {Graph Construction and b-Matching for Semi-Supervised Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {441--448},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_057,
  author =    {Nikolay Jetchev and Marc Toussaint},
  title =     {Trajectory Prediction: Learning to Map Situations to Robot Trajectories},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {449--456},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_058,
  author =    {Shuiwang Ji and Jieping Ye},
  title =     {An Accelerated Gradient Method for Trace Norm Minimization},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {457--464},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_060,
  author =    {Jason Johnson and Vladimir Chernyak and Michael Chertkov},
  title =     {Orbit-Product Representation and Correction of Gaussian Belief Propagation},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {473--480},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_061,
  author =    {Hetunandan Kamisetty and Christopher James Langmead},
  title =     {A {Bayesian} Approach to Protein Model Quality Assessment},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {481--488},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_062,
  author =    {Nikos Karampatziakis and Dexter Kozen},
  title =     {Learning Prediction Suffix Trees with {Winnow}},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {489--496},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_063,
  author =    {Bal\'{a}zs K\'{e}gl and R\'{o}bert Busa-Fekete},
  title =     {Boosting Products of Base Classifiers},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {497--504},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_064,
  author =    {Stanley Kok and Pedro Domingos},
  title =     {Learning {Markov} Logic Network Structure via Hypergraph Lifting},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {505--512},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_065,
  author =    {J. Zico Kolter andrew Ng},
  title =     {Near-{Bayesian} Exploration in Polynomial Time},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {513--520},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_066,
  author =    {J. Zico Kolter andrew Ng},
  title =     {Regularization and Feature Selection in Least-Squares Temporal Difference Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {521--528},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_067,
  author =    {Risi Kondor and Nino Shervashidze and Karsten Borgwardt},
  title =     {The Graphlet Spectrum},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {529--536},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_068,
  author =    {Wojciech Kotlowski and Roman Slowinski},
  title =     {Rule Learning with Monotonicity Constraints},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {537--544},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_069,
  author =    {Matthieu Kowalski and Marie Szafranski and Liva Ralaivola},
  title =     {Multiple Indefinite Kernel Learning with Mixed Norm Regularization},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {545--552},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_070,
  author =    {Sanjiv Kumar and Mehryar Mohri and Ameet Talwalkar},
  title =     {On Sampling-Based Approximate Spectral Decomposition},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {553--560},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_071,
  author =    {J\'{e}rôme Kunegis andreas Lommatzsch},
  title =     {Learning Spectral Graph Transformations for Link Prediction},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {561--568},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_072,
  author =    {Ond\v{r}ej Ku\v{z}elka and Filip \v{Z}elezn\'{y}},
  title =     {Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {569--576},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_073,
  author =    {Yanyan Lan and Tie-Yan Liu and Zhiming Ma and Hang Li},
  title =     {Generalization Analysis of Listwise Learning-to-Rank Algorithms},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {577--584},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_074,
  author =    {Tobias Lang and Marc Toussaint},
  title =     {Approximate Inference for Planning in Stochastic Relational Worlds},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {585--592},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_075,
  author =    {John Langford and Ruslan Salakhutdinov and Tong Zhang},
  title =     {Learning Nonlinear Dynamic Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {593--600},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_076,
  author =    {Neil D. Lawrence and Raquel Urtasun},
  title =     {Non-Linear Matrix Factorization with Gaussian Processes},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {601--608},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_077,
  author =    {Honglak Lee and Roger Grosse and Rajesh Ranganath and Andrew Ng},
  title =     {Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {609--616},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_078,
  author =    {Bin Li and Qiang Yang and Xiangyang Xue},
  title =     {Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {617--624},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_079,
  author =    {Ping Li},
  title =     {{ABC-Boost}: Adaptive Base Class Boost for Multi-Class Classification},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {625--632},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_080,
  author =    {Yu-Feng Li and James Kwok and Zhi-Hua Zhou},
  title =     {Semi-Supervised Learning Using Label Mean},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {633--640},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_081,
  author =    {Percy Liang and Dan Klein and Michael Jordan},
  title =     {Learning from Measurements in Exponential Families},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {641--648},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_082,
  author =    {Han Liu and Mark Palatucci and Jian Zhang},
  title =     {Blockwise Coordinate Descent Procedures for the Multi-Task Lasso, with Applications to Neural Semantic Basis Discovery},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {649--656},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_083,
  author =    {Jun Liu and Jieping Ye},
  title =     {Efficient Euclidean Projections in Linear Time},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {657--664},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_084,
  author =    {Yan Liu and Alexandru Niculescu-mizil and Wojciech Gryc},
  title =     {{Topic-Link LDA}: Joint Models of Topic and Author Community},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {665--672},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_085,
  author =    {Zhengdong Lu and Prateek Jain and Inderjit Dhillon},
  title =     {Geometry-Aware Metric Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {673--680},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_086,
  author =    {Justin Ma and Lawrence K. Saul and Stefan Savage and Geoffrey M. Voelker},
  title =     {Identifying Suspicious {URLs}: An Application of Large-Scale Online Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {681--688},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_087,
  author =    {Julien Mairal and Francis Bach and Jean Ponce and Guillermo Sapiro},
  title =     {Online Dictionary Learning for Sparse Coding},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {689--696},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_088,
  author =    {Takaki Makino},
  title =     {Proto-Predictive Representation of States with Simple Recurrent Temporal-Difference Networks},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {697--704},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_089,
  author =    {Benjamin M. Marlin and Kevin P. Murphy},
  title =     {Sparse {Gaussian} Graphical Models with Unknown Block Structure},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {705--712},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_090,
  author =    {Andr\'{e} Martins and Noah Smith and Eric Xing},
  title =     {Polyhedral Outer Approximations with Application to Natural Language Parsing},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {713--720},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_091,
  author =    {Brian McFee and Gert Lanckriet},
  title =     {Partial Order Embedding with Multiple Kernels},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {721--728},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_092,
  author =    {Fr\'{e}d\'{e}ric de Mesmay and Arpad Rimmel and Yevgen Voronenko and Markus P\"{u}schel},
  title =     {Bandit-Based Optimization on Graphs with Application to Library Performance Tuning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {729--736},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_093,
  author =    {Hossein Mobahi and Ronan Collobert and Jason Weston},
  title =     {Deep Learning from Temporal Coherence in Video},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {737--744},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_094,
  author =    {Joris Mooij and Dominik Janzing and Jonas Peters and Bernhard Sch\"{o}lkopf},
  title =     {Regression by Dependence Minimization and its Application to Causal Inference},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {745--752},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_095,
  author =    {Gerhard Neumann and Wolfgang Maass and Jan Peters},
  title =     {Learning Complex Motions by Sequencing Simpler Motion Templates},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {753--760},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_096,
  author =    {Hannes Nickisch and Matthias Seeger},
  title =     {Convex Variational {Bayesian} Inference for Large Scale Generalized Linear Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {761--768},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_097,
  author =    {Sebastian Nowozin and Stefanie Jegelka},
  title =     {Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {769--776},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_098,
  author =    {John Paisley and Lawrence Carin},
  title =     {Nonparametric Factor Analysis with Beta Process Priors},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {777--784},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_099,
  author =    {Wei Pan and Lorenzo Torresani},
  title =     {Unsupervised Hierarchical Modeling of Locomotion Styles},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {785--792},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_100,
  author =    {Jason Pazis and Michail Lagoudakis},
  title =     {Binary Action Search for Learning Continuous-Action Control Policies},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {793--800},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_101,
  author =    {Jonas Peters and Dominik Janzing and Arthur Gretton and Bernhard Sch\"{o}lkopf},
  title =     {Detecting the Direction of Causal Time Series},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {801--808},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_102,
  author =    {Marek Petrik and Shlomo Zilberstein},
  title =     {Constraint Relaxation in Approximate Linear Programs},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {809--816},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_103,
  author =    {Nils Plath and Marc Toussaint and Shinichi Nakajima},
  title =     {Multi-Class Image Segmentation using Conditional Random Fields and Global Classification},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {817--824},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_104,
  author =    {Barnab\'{a}s P\'{o}czos and Yasin Abbasi-Yadkori and Csaba Szepesv\'{a}ri and Russell Greiner and Nathan Sturtevant},
  title =     {Learning When to Stop Thinking and Do Something!},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {825--832},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_105,
  author =    {Duangmanee Putthividhya and Hagai Attias and Srikantan Nagarajan},
  title =     {Independent Factor Topic Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {833--840},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_106,
  author =    {Guo-Jun Qi and Jinhui Tang and Zheng-Jun Zha and Tat-Seng Chua and Hong-Jiang Zhang},
  title =     {An Efficient Sparse Metric Learning in High-Dimensional Space via {$\ell_1$}-Penalized LogDeterminant Regularization},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {841--848},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_107,
  author =    {Xian Qian and Xiaoqian Jiang and Zhang Qi and Xuanjing Huang and Lide Wu},
  title =     {Sparse Higher Order Conditional Random Fields for Improved Sequence Labeling},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {849--856},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_108,
  author =    {Ariadna Quattoni and Xavier Carreras and Michael Collins and Trevor Darrell},
  title =     {An Efficient Projection for {$L_{\{1,\infty\}}$} Regularization},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {857--864},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_109,
  author =    {Milos Radovanovic and Alexandros Nanopoulos and Mirjana Ivanovic},
  title =     {Nearest Neighbors in High-Dimensional Data: The Emergence and Influence of Hubs},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {865--872},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_110,
  author =    {Rajat Raina and Anand Madhavan and Andrew Ng},
  title =     {Large-Scale Deep Unsupervised Learning using Graphics Processors},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {873--880},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_111,
  author =    {Sudhir Raman and Thomas Fuchs and Peter Wild and Edgar Dahl and Volker Roth},
  title =     {The {Bayesian} Group-Lasso for Analyzing Contingency Tables},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {881--888},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_112,
  author =    {Vikas Raykar and Shipeng Yu and Linda Zhao and Anna Jerebko and Charles Florin and Gerardo Valadez and Luca Bogoni and Linda Moy},
  title =     {Supervised Learning from Multiple Experts: Whom to Trust when Everyone Lies a Bit},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {889--896},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_113,
  author =    {Mark Reid and Robert Williamson},
  title =     {Surrogate Regret Bounds for Proper Losses},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {897--904},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_114,
  author =    {Sushmita Roy and Terran Lane and Margaret Werner-Washburne},
  title =     {Learning Structurally Consistent Undirected Probabilistic Graphical Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {905--912},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_115,
  author =    {Stefan Rueping},
  title =     {Ranking Interesting Subgroups},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {913--920},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_116,
  author =    {Mikkel N. Schmidt},
  title =     {Function Factorization using Warped Gaussian Processes},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {921--928},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_117,
  author =    {Shai Shalev-Shwartz and Ambuj Tewari},
  title =     {Stochastic Methods for {$\ell_1$} Regularized Loss Minimization},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {929--936},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_118,
  author =    {Blake Shaw and Tony Jebara},
  title =     {Structure Preserving Embedding},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {937--944},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_119,
  author =    {David Silver and Gerald Tesauro},
  title =     {{Monte-Carlo} Simulation Balancing},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {945--952},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_120,
  author =    {Vikas Sindhwani and Prem Melville and Richard Lawrence},
  title =     {Uncertainty Sampling and Transductive Experimental Design for Active Dual Supervision},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {953--960},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_121,
  author =    {Le Song and Jonathan Huang and Alex Smola and Kenji Fukumizu},
  title =     {{Hilbert} Space Embeddings of Conditional Distributions with Applications to Dynamical Systems},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {961--968},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_122,
  author =    {Andreas P. Streich and Mario Frank and David Basin and Joachim M. Buhmann},
  title =     {Multi-Assignment Clustering for Boolean Data},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {969--976},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_123,
  author =    {Liang Sun and Shuiwang Ji and Jieping Ye},
  title =     {A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {977--984},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_124,
  author =    {Ilya Sutskever},
  title =     {A Simpler Unified Analysis of Budget Perceptrons},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {985--992},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_125,
  author =    {Richard Sutton and Hamid Maei and Doina Precup and Shalabh Bhatnagar and David Silver and Csaba Szepesvari and Eric Wiewiora},
  title =     {Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {993--1000},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_126,
  author =    {Istv\'{a}n Szita andr\'{a}s L\"{o}rincz},
  title =     {Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored {MDPs}},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1001--1008},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_127,
  author =    {Arthur Szlam and Guillermo Sapiro},
  title =     {Discriminative $k$-Metrics},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1009--1016},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_128,
  author =    {Gavin Taylor and Ronald Parr},
  title =     {Kernelized Value Function Approximation for Reinforcement Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1017--1024},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_129,
  author =    {Graham Taylor and Geoffrey Hinton},
  title =     {Factored Conditional Restricted {Boltzmann} Machines for Modeling Motion Style},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1025--1032},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_130,
  author =    {Tijmen Tieleman and Geoffrey Hinton},
  title =     {Using Fast Weights to Improve Persistent Contrastive Divergence},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1033--1040},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_131,
  author =    {Robert Tillman},
  title =     {Structure Learning with Independent Non-Identically Distributed Data},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1041--1048},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_132,
  author =    {Marc Toussaint},
  title =     {Robot Trajectory Optimization using Approximate Inference},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1049--1056},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_133,
  author =    {Nicolas Usunier and David Buffoni and Patrick Gallinari},
  title =     {Ranking with Ordered Weighted Pairwise Classification},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1057--1064},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_134,
  author =    {Manik Varma and Rakesh Babu},
  title =     {More Generality in Efficient Multiple Kernel Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1065--1072},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_135,
  author =    {Nguyen Xuan Vinh and Julien Epps and James Bailey},
  title =     {Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary?},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1073--1080},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_136,
  author =    {Nikos Vlassis and Marc Toussaint},
  title =     {Model-Free Reinforcement Learning as Mixture Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1081--1088},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_137,
  author =    {Maksims Volkovs and Richard Zemel},
  title =     {{BoltzRank}: Learning to Maximize Expected Ranking Gain},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1089--1096},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_138,
  author =    {Kiri Wagstaff and Benjamin Bornstein},
  title =     {{K-means} in Space: A Radiation Sensitivity Evaluation},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1097--1104},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_139,
  author =    {Hanna Wallach and Iain Murray and Ruslan Salakhutdinov and David Mimno},
  title =     {Evaluation Methods for Topic Models},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1105--1112},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_140,
  author =    {Kilian Weinberger and Anirban Dasgupta and John Langford and Alex Smola and Josh Attenberg},
  title =     {Feature Hashing for Large Scale Multitask Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1113--1120},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_141,
  author =    {Max Welling},
  title =     {Herding Dynamic Weights to Learn},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1121--1128},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_142,
  author =    {Frank Wood and C\'{e}dric Archambeau and Jan Gasthaus and Lancelot James and Yee Whye Teh},
  title =     {A Stochastic Memoizer for Sequence Data},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1129--1136},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_143,
  author =    {Linli Xu and Martha White and Dale Schuurmans},
  title =     {Optimal Reverse Prediction: A Unified Perspective on Supervised, Unsupervised and Semi-supervised Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1137--1144},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_144,
  author =    {Zenglin Xu and Rong Jin and Jieping Ye and Michael R. Lyu and Irwin King},
  title =     {Non-Monotonic Feature Selection},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1145--1152},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_145,
  author =    {Liu Yang and Rong Jin and Jieping Ye},
  title =     {Online Learning by Ellipsoid Method},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1153--1160},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_146,
  author =    {Sun Yi and Daan Wierstra and Tom Schaul and Juergen Schmidhuber},
  title =     {Stochastic Search using the Natural Gradient},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1161--1168},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_147,
  author =    {Chun-Nam Yu and Thorsten Joachims},
  title =     {Learning Structural {SVMs} with Latent Variables},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1169--1176},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_148,
  author =    {Jia Yuan Yu and Shie Mannor},
  title =     {Piecewise-Stationary Bandit Problems with Side Observations},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1177--1184},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_149,
  author =    {Kai Yu and John Lafferty and Shenghuo Zhu and Yihong Gong},
  title =     {Large-scale Collaborative Prediction Using a Nonparametric Random Effects Model},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1185--1192},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_150,
  author =    {Xiao-Tong Yuan and Bao-Gang Hu},
  title =     {Robust Feature Extraction via Information Theoretic Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1193--1200},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_151,
  author =    {Yisong Yue and Thorsten Joachims},
  title =     {Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Problem},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1201--1208},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_152,
  author =    {Alan Yuille and Songfeng Zheng},
  title =     {Compositional Noisy-Logical Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1209--1216},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_153,
  author =    {Peng Zang and Peng Zhou and David Minnen and Charles Isbell},
  title =     {Discovering Options from Example Trajectories},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1217--1224},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_154,
  author =    {De-Chuan Zhan and Ming Li and Yu-Feng Li and Zhi-Hua Zhou},
  title =     {Learning Instance Specific Distances Using Metric Propagation},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1225--1232},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_155,
  author =    {Kai Zhang and James T. Kwok and Bahram Parvin},
  title =     {Prototype Vector Machine for Large Scale Semi-supervised Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1233--1240},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_156,
  author =    {Wei Zhang and Akshat Surve and Xiaoli Fern and Thomas Dietterich},
  title =     {Learning Non-Redundant Codebooks for Classifying Complex Objects},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1241--1248},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_157,
  author =    {Zhi-Hua Zhou and Yu-Yin Sun and Yu-Feng Li},
  title =     {Multi-Instance Learning by Treating Instances As Non-{I.I.D.} Samples},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1249--1256},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_158,
  author =    {Jun Zhu and Amr Ahmed and Eric Xing},
  title =     {{MedLDA}: Maximum Margin Supervised Topic Models for Regression and Classification},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1257--1264},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_159,
  author =    {Jun Zhu and Eric Xing},
  title =     {On Primal and Dual Sparsity of {Markov} Networks},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1265--1272},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}


@InProceedings{icml2009_160,
  author =    {Jinfeng Zhuang and Ivor W. Tsang and Steven C. H. Hoi},
  title =     {{SimpleNPKL}: Simple Non-Parametric Kernel Learning},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning},
  pages =     {1273--1280},
  year =      2009,
  editor =    {L\'{e}on Bottou and Michael Littman},
  address =   {Montreal},
  month =     {June},
  publisher = {Omnipress}
}