| 2009 | A Bayesian approach to protein model quality assessment. Hetunandan Kamisetty, Christopher James Langmead |
| 2009 | A convex formulation for learning shared structures from multiple tasks. Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye |
| 2009 | A least squares formulation for a class of generalized eigenvalue problems in machine learning. Liang Sun, Shuiwang Ji, Jieping Ye |
| 2009 | A majorization-minimization algorithm for (multiple) hyperparameter learning. Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng |
| 2009 | A novel lexicalized HMM-based learning framework for web opinion mining. |
| 2009 | A scalable framework for discovering coherent co-clusters in noisy data. Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon |
| 2009 | A simpler unified analysis of budget perceptrons. Ilya Sutskever |
| 2009 | A stochastic memoizer for sequence data. Frank D. Wood, Cédric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh |
| 2009 | ABC-boost: adaptive base class boost for multi-class classification. Ping Li |
| 2009 | Accelerated sampling for the Indian Buffet Process. Finale Doshi-Velez, Zoubin Ghahramani |
| 2009 | Accounting for burstiness in topic models. Gabriel Doyle, Charles Elkan |
| 2009 | Active learning for directed exploration of complex systems. Michael C. Burl, Esther Wang |
| 2009 | An accelerated gradient method for trace norm minimization. Shuiwang Ji, Jieping Ye |
| 2009 | An efficient projection for Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell |
| 2009 | An efficient sparse metric learning in high-dimensional space via Guo-Jun Qi, Jinhui Tang, Zheng-Jun Zha, Tat-Seng Chua, Hong-Jiang Zhang |
| 2009 | Analytic moment-based Gaussian process filtering. Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck |
| 2009 | Approximate inference for planning in stochastic relational worlds. Tobias Lang, Marc Toussaint |
| 2009 | Archipelago: nonparametric Bayesian semi-supervised learning. Ryan Prescott Adams, Zoubin Ghahramani |
| 2009 | Bandit-based optimization on graphs with application to library performance tuning. Frédéric de Mesmay, Arpad Rimmel, Yevgen Voronenko, Markus Püschel |
| 2009 | Bayesian clustering for email campaign detection. Peter Haider, Tobias Scheffer |
| 2009 | Bayesian inference for Plackett-Luce ranking models. John Guiver, Edward Lloyd Snelson |
| 2009 | Binary action search for learning continuous-action control policies. Jason Pazis, Michail G. Lagoudakis |
| 2009 | Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. Ondrej Kuzelka, Filip Zelezný |
| 2009 | Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. Han Liu, Mark Palatucci, Jian Zhang |
| 2009 | BoltzRank: learning to maximize expected ranking gain. Maksims Volkovs, Richard S. Zemel |
| 2009 | Boosting products of base classifiers. Balázs Kégl, Róbert Busa-Fekete |
| 2009 | Boosting with structural sparsity. John C. Duchi, Yoram Singer |
| 2009 | Compositional noisy-logical learning. Alan L. Yuille, Songfeng Zheng |
| 2009 | Constraint relaxation in approximate linear programs. Marek Petrik, Shlomo Zilberstein |
| 2009 | Convex variational Bayesian inference for large scale generalized linear models. Hannes Nickisch, Matthias W. Seeger |
| 2009 | Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. Honglak Lee, Roger B. Grosse, Rajesh Ranganath, Andrew Y. Ng |
| 2009 | Curriculum learning. Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston |
| 2009 | Decision tree and instance-based learning for label ranking. Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier |
| 2009 | Deep learning from temporal coherence in video. Hossein Mobahi, Ronan Collobert, Jason Weston |
| 2009 | Deep transfer via second-order Markov logic. Jesse Davis, Pedro M. Domingos |
| 2009 | Detecting the direction of causal time series. Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf |
| 2009 | Discovering options from example trajectories. Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr. |
| 2009 | Discriminative Arthur Szlam, Guillermo Sapiro |
| 2009 | Domain adaptation from multiple sources via auxiliary classifiers. Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua |
| 2009 | Dynamic analysis of multiagent Eduardo Rodrigues Gomes, Ryszard Kowalczyk |
| 2009 | Dynamic mixed membership blockmodel for evolving networks. Wenjie Fu, Le Song, Eric P. Xing |
| 2009 | Efficient Euclidean projections in linear time. Jun Liu, Jieping Ye |
| 2009 | Efficient learning algorithms for changing environments. Elad Hazan, C. Seshadhri |
| 2009 | EigenTransfer: a unified framework for transfer learning. Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu |
| 2009 | Evaluation methods for topic models. Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov, David M. Mimno |
| 2009 | Exploiting sparse Markov Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky |
| 2009 | Factored conditional restricted Boltzmann Machines for modeling motion style. Graham W. Taylor, Geoffrey E. Hinton |
| 2009 | Fast evolutionary maximum margin clustering. Fabian Gieseke, Tapio Pahikkala, Oliver Kramer |
| 2009 | Fast gradient-descent methods for temporal-difference learning with linear function approximation. Richard S. Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvári, Eric Wiewiora |
| 2009 | Feature hashing for large scale multitask learning. Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg |
| 2009 | Fitting a graph to vector data. Samuel I. Daitch, Jonathan A. Kelner, Daniel A. Spielman |
| 2009 | Function factorization using warped Gaussian processes. Mikkel N. Schmidt |
| 2009 | GAODE and HAODE: two proposals based on AODE to deal with continuous variables. M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta |
| 2009 | Generalization analysis of listwise learning-to-rank algorithms. Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li |
| 2009 | Geometry-aware metric learning. Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon |
| 2009 | Good learners for evil teachers. Ofer Dekel, Ohad Shamir |
| 2009 | Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. Rahul Garg, Rohit Khandekar |
| 2009 | Grammatical inference as a principal component analysis problem. Raphaël Bailly, François Denis, Liva Ralaivola |
| 2009 | Graph construction and Tony Jebara, Jun Wang, Shih-Fu Chang |
| 2009 | Group lasso with overlap and graph lasso. Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert |
| 2009 | Herding dynamical weights to learn. Max Welling |
| 2009 | Hilbert space embeddings of conditional distributions with applications to dynamical systems. Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu |
| 2009 | Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search. Verena Heidrich-Meisner, Christian Igel |
| 2009 | Identifying suspicious URLs: an application of large-scale online learning. Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker |
| 2009 | Importance weighted active learning. Alina Beygelzimer, Sanjoy Dasgupta, John Langford |
| 2009 | Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. David Andrzejewski, Xiaojin Zhu, Mark Craven |
| 2009 | Independent factor topic models. Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan |
| 2009 | Information theoretic measures for clusterings comparison: is a correction for chance necessary? Xuan Vinh Nguyen, Julien Epps, James Bailey |
| 2009 | Interactively optimizing information retrieval systems as a dueling bandits problem. Yisong Yue, Thorsten Joachims |
| 2009 | Invited talk: Can learning kernels help performance? Corinna Cortes |
| 2009 | Invited talk: Drifting games, boosting and online learning. Yoav Freund |
| 2009 | K-means in space: a radiation sensitivity evaluation. Kiri L. Wagstaff, Benjamin J. Bornstein |
| 2009 | Kernelized value function approximation for reinforcement learning. Gavin Taylor, Ronald Parr |
| 2009 | Large margin training for hidden Markov models with partially observed states. Trinh Minh Tri Do, Thierry Artières |
| 2009 | Large-scale collaborative prediction using a nonparametric random effects model. Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong |
| 2009 | Large-scale deep unsupervised learning using graphics processors. Rajat Raina, Anand Madhavan, Andrew Y. Ng |
| 2009 | Learning Markov logic network structure via hypergraph lifting. Stanley Kok, Pedro M. Domingos |
| 2009 | Learning complex motions by sequencing simpler motion templates. Gerhard Neumann, Wolfgang Maass, Jan Peters |
| 2009 | Learning dictionaries of stable autoregressive models for audio scene analysis. Youngmin Cho, Lawrence K. Saul |
| 2009 | Learning from measurements in exponential families. Percy Liang, Michael I. Jordan, Dan Klein |
| 2009 | Learning instance specific distances using metric propagation. De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou |
| 2009 | Learning kernels from indefinite similarities. Yihua Chen, Maya R. Gupta, Benjamin Recht |
| 2009 | Learning linear dynamical systems without sequence information. Tzu-Kuo Huang, Jeff G. Schneider |
| 2009 | Learning non-redundant codebooks for classifying complex objects. Wei Zhang, Akshat Surve, Xiaoli Z. Fern, Thomas G. Dietterich |
| 2009 | Learning nonlinear dynamic models. John Langford, Ruslan Salakhutdinov, Tong Zhang |
| 2009 | Learning prediction suffix trees with Winnow. Nikolaos Karampatziakis, Dexter Kozen |
| 2009 | Learning spectral graph transformations for link prediction. Jérôme Kunegis, Andreas Lommatzsch |
| 2009 | Learning structural SVMs with latent variables. Chun-Nam John Yu, Thorsten Joachims |
| 2009 | Learning structurally consistent undirected probabilistic graphical models. Sushmita Roy, Terran Lane, Margaret Werner-Washburne |
| 2009 | Learning to segment from a few well-selected training images. Alireza Farhangfar, Russell Greiner, Csaba Szepesvári |
| 2009 | Learning when to stop thinking and do something! Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant |
| 2009 | Learning with structured sparsity. Junzhou Huang, Tong Zhang, Dimitris N. Metaxas |
| 2009 | Matrix updates for perceptron training of continuous density hidden Markov models. Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul |
| 2009 | MedLDA: maximum margin supervised topic models for regression and classification. Jun Zhu, Amr Ahmed, Eric P. Xing |
| 2009 | Model-free reinforcement learning as mixture learning. Nikos Vlassis, Marc Toussaint |
| 2009 | Monte-Carlo simulation balancing. David Silver, Gerald Tesauro |
| 2009 | More generality in efficient multiple kernel learning. Manik Varma, Bodla Rakesh Babu |
| 2009 | Multi-assignment clustering for Boolean data. Andreas P. Streich, Mario Frank, David A. Basin, Joachim M. Buhmann |
| 2009 | Multi-class image segmentation using conditional random fields and global classification. Nils Plath, Marc Toussaint, Shinichi Nakajima |
| 2009 | Multi-instance learning by treating instances as non-I.I.D. samples. Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li |
| 2009 | Multi-view clustering via canonical correlation analysis. Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan |
| 2009 | Multiple indefinite kernel learning with mixed norm regularization. Matthieu Kowalski, Marie Szafranski, Liva Ralaivola |
| 2009 | Near-Bayesian exploration in polynomial time. J. Zico Kolter, Andrew Y. Ng |
| 2009 | Nearest neighbors in high-dimensional data: the emergence and influence of hubs. Milos Radovanovic, Alexandros Nanopoulos, Mirjana Ivanovic |
| 2009 | Non-linear matrix factorization with Gaussian processes. Neil D. Lawrence, Raquel Urtasun |
| 2009 | Non-monotonic feature selection. Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King |
| 2009 | Nonparametric estimation of the precision-recall curve. Stéphan Clémençon, Nicolas Vayatis |
| 2009 | Nonparametric factor analysis with beta process priors. John W. Paisley, Lawrence Carin |
| 2009 | On primal and dual sparsity of Markov networks. Jun Zhu, Eric P. Xing |
| 2009 | On sampling-based approximate spectral decomposition. Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar |
| 2009 | Online dictionary learning for sparse coding. Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro |
| 2009 | Online feature elicitation in interactive optimization. Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2009 | Online learning by ellipsoid method. Liu Yang, Rong Jin, Jieping Ye |
| 2009 | Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. Linli Xu, Martha White, Dale Schuurmans |
| 2009 | Optimistic initialization and greediness lead to polynomial time learning in factored MDPs. Istvan Szita, András Lörincz |
| 2009 | Optimized expected information gain for nonlinear dynamical systems. Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann |
| 2009 | Orbit-product representation and correction of Gaussian belief propagation. Jason K. Johnson, Vladimir Y. Chernyak, Michael Chertkov |
| 2009 | PAC-Bayesian learning of linear classifiers. Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand |
| 2009 | Partial order embedding with multiple kernels. Brian McFee, Gert R. G. Lanckriet |
| 2009 | Partially supervised feature selection with regularized linear models. Thibault Helleputte, Pierre Dupont |
| 2009 | Piecewise-stationary bandit problems with side observations. Jia Yuan Yu, Shie Mannor |
| 2009 | Polyhedral outer approximations with application to natural language parsing. André F. T. Martins, Noah A. Smith, Eric P. Xing |
| 2009 | Predictive representations for policy gradient in POMDPs. Abdeslam Boularias, Brahim Chaib-draa |
| 2009 | Probabilistic dyadic data analysis with local and global consistency. Deng Cai, Xuanhui Wang, Xiaofei He |
| 2009 | Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 Andrea Pohoreckyj Danyluk, Léon Bottou, Michael L. Littman |
| 2009 | Proto-predictive representation of states with simple recurrent temporal-difference networks. Takaki Makino |
| 2009 | Prototype vector machine for large scale semi-supervised learning. Kai Zhang, James T. Kwok, Bahram Parvin |
| 2009 | Proximal regularization for online and batch learning. Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo |
| 2009 | Ranking interesting subgroups. Stefan Rüping |
| 2009 | Ranking with ordered weighted pairwise classification. Nicolas Usunier, David Buffoni, Patrick Gallinari |
| 2009 | Regression by dependence minimization and its application to causal inference in additive noise models. Joris M. Mooij, Dominik Janzing, Jonas Peters, Bernhard Schölkopf |
| 2009 | Regularization and feature selection in least-squares temporal difference learning. J. Zico Kolter, Andrew Y. Ng |
| 2009 | Robot trajectory optimization using approximate inference. Marc Toussaint |
| 2009 | Robust bounds for classification via selective sampling. Nicolò Cesa-Bianchi, Claudio Gentile, Francesco Orabona |
| 2009 | Robust feature extraction via information theoretic learning. Xiaotong Yuan, Bao-Gang Hu |
| 2009 | Route kernels for trees. Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti |
| 2009 | Rule learning with monotonicity constraints. Wojciech Kotlowski, Roman Slowinski |
| 2009 | Semi-supervised learning using label mean. Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2009 | Sequential Bayesian prediction in the presence of changepoints. Roman Garnett, Michael A. Osborne, Stephen J. Roberts |
| 2009 | SimpleNPKL: simple non-parametric kernel learning. Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi |
| 2009 | Solution stability in linear programming relaxations: graph partitioning and unsupervised learning. Sebastian Nowozin, Stefanie Jegelka |
| 2009 | Sparse Gaussian graphical models with unknown block structure. Benjamin M. Marlin, Kevin P. Murphy |
| 2009 | Sparse higher order conditional random fields for improved sequence labeling. Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huang, Lide Wu |
| 2009 | Spectral clustering based on the graph Thomas Bühler, Matthias Hein |
| 2009 | Split variational inference. Guillaume Bouchard, Onno Zoeter |
| 2009 | Stochastic methods for Shai Shalev-Shwartz, Ambuj Tewari |
| 2009 | Stochastic search using the natural gradient. Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber |
| 2009 | Structure learning of Bayesian networks using constraints. Cassio P. de Campos, Zhi Zeng, Qiang Ji |
| 2009 | Structure learning with independent non-identically distributed data. Robert E. Tillman |
| 2009 | Structure preserving embedding. Blake Shaw, Tony Jebara |
| 2009 | Supervised learning from multiple experts: whom to trust when everyone lies a bit. Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy |
| 2009 | Surrogate regret bounds for proper losses. Mark D. Reid, Robert C. Williamson |
| 2009 | The Bayesian group-Lasso for analyzing contingency tables. Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth |
| 2009 | The adaptive Carlos Diuk, Lihong Li, Bethany R. Leffler |
| 2009 | The graphlet spectrum. Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt |
| 2009 | Topic-link LDA: joint models of topic and author community. Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc |
| 2009 | Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. Ryan Prescott Adams, Iain Murray, David J. C. MacKay |
| 2009 | Trajectory prediction: learning to map situations to robot trajectories. Nikolay Jetchev, Marc Toussaint |
| 2009 | Transfer learning for collaborative filtering via a rating-matrix generative model. Bin Li, Qiang Yang, Xiangyang Xue |
| 2009 | Tutorial summary: Active learning. Sanjoy Dasgupta, John Langford |
| 2009 | Tutorial summary: Convergence of natural dynamics to equilibria. Eyal Even-Dar, Vahab S. Mirrokni |
| 2009 | Tutorial summary: Large social and information networks: opportunities for ML. Jure Leskovec |
| 2009 | Tutorial summary: Learning with dependencies between several response variables. Volker Tresp, Kai Yu |
| 2009 | Tutorial summary: Machine learning in IR: recent successes and new opportunities. Paul N. Bennett, Misha Bilenko, Kevyn Collins-Thompson |
| 2009 | Tutorial summary: Reductions in machine learning. Alina Beygelzimer, John Langford, Bianca Zadrozny |
| 2009 | Tutorial summary: Structured prediction for natural language processing. Noah A. Smith |
| 2009 | Tutorial summary: Survey of boosting from an optimization perspective. Manfred K. Warmuth, S. V. N. Vishwanathan |
| 2009 | Tutorial summary: The neuroscience of reinforcement learning. Yael Niv |
| 2009 | Uncertainty sampling and transductive experimental design for active dual supervision. Vikas Sindhwani, Prem Melville, Richard D. Lawrence |
| 2009 | Unsupervised hierarchical modeling of locomotion styles. Wei Pan, Lorenzo Torresani |
| 2009 | Unsupervised search-based structured prediction. Hal Daumé III |
| 2009 | Using fast weights to improve persistent contrastive divergence. Tijmen Tieleman, Geoffrey E. Hinton |
| 2009 | Workshop summary: Abstraction in reinforcement learning. Özgür Simsek |
| 2009 | Workshop summary: Automated interpretation and modelling of cell images. Robert F. Murphy, Chun-Nan Hsu, Loris Nanni |
| 2009 | Workshop summary: Numerical mathematics in machine learning. Matthias W. Seeger, Suvrit Sra, John P. Cunningham |
| 2009 | Workshop summary: On-line learning with limited feedback. Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári |
| 2009 | Workshop summary: Results of the 2009 reinforcement learning competition. David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor, Jordan Frank |
| 2009 | Workshop summary: Seventh annual workshop on Bayes applications. John Mark Agosta, Russell G. Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij |
| 2009 | Workshop summary: Sparse methods for music audio. Douglas Eck, Dan Ellis, Philippe Hamel |
| 2009 | Workshop summary: The fourth workshop on evaluation methods for machine learning. Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy |
| 2009 | Workshop summary: Workshop on learning feature hierarchies. Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio |