ICML 2009: all accepted papers
- Curriculum learning ↗Yoshua Bengio, Jérôme Louradour, Ronan Collobert et al.5,002 citations
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗Honglak Lee, Roger Grosse, Rajesh Ranganath et al.2,379 citations
- Online dictionary learning for sparse coding ↗Julien Mairal, Francis Bach, Jean Ponce et al.2,114 citations
- Information theoretic measures for clusterings comparison ↗Nguyễn Xuân Vinh, Julien Epps, James Bailey938 citations
- Feature hashing for large scale multitask learning ↗Kilian Q. Weinberger, Anirban Dasgupta, John C. Langford et al.906 citations
- Evaluation methods for topic models ↗Hanna Wallach, Iain Murray, Ruslan Salakhutdinov et al.863 citations
- Group lasso with overlap and graph lasso ↗Laurent Jacob, Guillaume Obozinski, Jean‐Philippe Vert833 citations
- Multi-view clustering via canonical correlation analysis ↗Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu et al.786 citations
- Large-scale deep unsupervised learning using graphics processors ↗Rajat Raina, Anand Madhavan, Andrew Ng731 citations
- Learning structural SVMs with latent variables ↗Chun-Nam John Yu, Thorsten Joachims610 citations
- An accelerated gradient method for trace norm minimization ↗Shuiwang Ji, Jieping Ye517 citations
- Identifying suspicious URLs ↗Justin H. Ma, Lawrence K. Saul, Stefan Savage et al.498 citations
- Fast gradient-descent methods for temporal-difference learning with linear function approximation ↗Richard S. Sutton, Hamid Reza Maei, Doina Precup et al.496 citations
- Incorporating domain knowledge into topic modeling via Dirichlet Forest priors ↗David Andrzejewski, Xiaojin Zhu, Mark W. Craven420 citations
- More generality in efficient multiple kernel learning ↗Manik Varma, Bodla Rakesh Babu398 citations
- Multi-instance learning by treating instances as non-I.I.D. samples ↗Zhi‐Hua Zhou, Yuyin Sun, Yu-Feng Li396 citations
- Herding dynamical weights to learn ↗Max Welling383 citations
- Factored conditional restricted Boltzmann Machines for modeling motion style ↗Graham W. Taylor, Geoffrey E. Hinton358 citations
- Transfer learning for collaborative filtering via a rating-matrix generative model ↗Bin Li, Qiang Yang, Xiangyang Xue340 citations
- Supervised learning from multiple experts ↗Vikas Chandrakant Raykar, Shipeng Yu, Linda H. Zhao et al.333 citations
- Retracted December 5, 2011: A novel lexicalized HMM-based learning framework for web opinion mining ↗Wei Jin, Hung Hay Ho325 citations
- Deep learning from temporal coherence in video ↗Hossein Mobahi, Ronan Collobert, Jason Weston323 citations
- Graph construction and b -matching for semi-supervised learning ↗Tony Jebara, Jun Wang, Shih‐Fu Chang320 citations
- Robot trajectory optimization using approximate inference ↗Marc Toussaint316 citations
- Stochastic methods for l 1 regularized loss minimization ↗Shai Shalev‐Shwartz, Ambuj Tewari298 citations
- Domain adaptation from multiple sources via auxiliary classifiers ↗Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu et al.289 citations
- Topic-link LDA ↗Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc288 citations
- Importance weighted active learning ↗Alina Beygelzimer, Sanjoy Dasgupta, John C. Langford276 citations
- Using fast weights to improve persistent contrastive divergence ↗Tijmen Tieleman, Geoffrey E. Hinton270 citations
- Interactively optimizing information retrieval systems as a dueling bandits problem ↗Yisong Yue, Thorsten Joachims268 citations
- Nonparametric factor analysis with beta process priors ↗John William Paisley, Lawrence Carin263 citations
- Hilbert space embeddings of conditional distributions with applications to dynamical systems ↗Le Song, Jonathan Huang, Alex J. Smola et al.255 citations
- Spectral clustering based on the graph p -Laplacian ↗Thomas Bühler, Matthias Hein244 citations
- MedLDA ↗Jun Zhu, Amr AbdelFatah Ahmed, Eric P. Xing232 citations
- Deep transfer via second-order Markov logic ↗Jesse J. Davis, Pedro Domingos222 citations
- Near-Bayesian exploration in polynomial time ↗J. Zico Kolter, Andrew Ng218 citations
- Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery ↗Han Liu, Mark Palatucci, Jian Zhang216 citations
- Non-linear matrix factorization with Gaussian processes ↗Neil David Lawrence, Raquel Urtasun215 citations
- Structure preserving embedding ↗Blake Shaw, Tony Jebara200 citations
- A convex formulation for learning shared structures from multiple tasks ↗Jianhui Chen, Lei Tang, Jun Liu et al.197 citations
- Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities ↗Ryan Prescott Adams, Iain Murray, David Mackay191 citations
- Learning with structured sparsity ↗Junzhou Huang, Tong Zhang, Dimitris Metaxas182 citations
- Learning spectral graph transformations for link prediction ↗Jérôme Kunegis, Andreas Lommatzsch181 citations
- Probabilistic dyadic data analysis with local and global consistency ↗Deng Cai, Xuanhui Wang, Xiaofei He177 citations
- Regularization and feature selection in least-squares temporal difference learning ↗J. Zico Kolter, Andrew Ng176 citations
- Dynamic mixed membership blockmodel for evolving networks ↗Wenjie Fu, Le Song, Eric P. Xing172 citations
- Bayesian inference for Plackett-Luce ranking models ↗John Guiver, Edward Snelson166 citations
- PAC-Bayesian learning of linear classifiers ↗Pascal Germain, Alexandre Lacasse, François Laviolette et al.166 citations
- Gradient descent with sparsification ↗Rahul Dev Garg, Rohit Khandekar161 citations
- Efficient Euclidean projections in linear time ↗Jun Liu, Jieping Ye152 citations
- Multi-class image segmentation using conditional random fields and global classification ↗Nils Plath, Marc Toussaint, Shinichi Nakajima148 citations
- Robust feature extraction via information theoretic learning ↗Xiao–Tong Yuan, Bao-Gang Hu145 citations
- Ranking with ordered weighted pairwise classification ↗Nicolas Usunier, David Buffoni, Patrick Gallinari144 citations
- Decision tree and instance-based learning for label ranking ↗Weiwei Cheng, Jens Hühn, Eyke Hüllermeier134 citations
- Analytic moment-based Gaussian process filtering ↗Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck126 citations
- Structure learning of Bayesian networks using constraints ↗Cassio Polpo de Campos, Zhi Yuan Zeng, Qiang Ji121 citations
- Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search ↗Verena Heidrich-Meisner, Christian Igel119 citations
- An efficient projection for l 1 , ∞ regularization ↗Ariadna Quattoni, Xavier Carreras, Michael Collins et al.113 citations
- Regression by dependence minimization and its application to causal inference in additive noise models ↗Joris M. Mooij, Dominik Janzing, Jonas Peters et al.112 citations
- Learning Markov logic network structure via hypergraph lifting ↗Stanley Kok, Pedro Domingos110 citations
- Semi-supervised learning using label mean ↗Yu-Feng Li, James Tin-Yau Kwok, Zhi‐Hua Zhou109 citations
- Efficient learning algorithms for changing environments ↗Elad Hazan, Comandur Seshadhri108 citations
- EigenTransfer ↗Wenyuan Dai, Ou Jin, Gui-Rong Xue et al.108 citations
- Learning from measurements in exponential families ↗Percy Liang, Michael I. Jordan, Dan Klein108 citations
- Fitting a graph to vector data ↗Samuel I. Daitch, Jonathan A. Kelner, Daniel A. Spielman107 citations
- BoltzRank ↗Maksims Volkovs, Richard S. Zemel103 citations
- Accounting for burstiness in topic models ↗Gabriel Doyle, Charles Elkan99 citations
- An efficient sparse metric learning in high-dimensional space via l 1 -penalized log-determinant regularization ↗Guo-Jun Qi, Jinhui Tang, Zheng-Jun Zha et al.99 citations
- Kernelized value function approximation for reinforcement learning ↗Gavin Taylor, Ronald Parr98 citations
- Large margin training for hidden Markov models with partially observed states ↗Trinh Minh Tri, Thierry Artières98 citations
- Nearest neighbors in high-dimensional data ↗Miloš Radovanović, Αλέξανδρος Νανόπουλος, Mirjana Drenovak Ivanović95 citations
- A stochastic memoizer for sequence data ↗Frank Wood, Cédric Archambeau, Jan Gasthaus et al.92 citations
- Monte-Carlo simulation balancing ↗David Silver, Gerald J. Tesauro91 citations
- Good learners for evil teachers ↗Ofer Dekel, Ohad Shamir90 citations
- On sampling-based approximate spectral decomposition ↗Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar88 citations
- Dynamic analysis of multiagent Q -learning with ε-greedy exploration ↗Eduardo Rodrigues Gomes, Ryszard Kowalczyk87 citations
- The Bayesian group-Lasso for analyzing contingency tables ↗Sudhir Raman, Thomas J. Fuchs, Peter Johannes Wild et al.87 citations
- Prototype vector machine for large scale semi-supervised learning ↗Kai Zhang, James Tin-Yau Kwok, Bahram Parvin86 citations
- Boosting products of base classifiers ↗Balázs Kégl, Róbert Busa‐Fekete83 citations
- Piecewise-stationary bandit problems with side observations ↗Jia Yuan Yu, Shie Mannor82 citations
- Stochastic search using the natural gradient ↗Yi Sun, Daan Wierstra, Tom Schaul et al.78 citations
- Learning non-redundant codebooks for classifying complex objects ↗Wei Zhang, Akshat Sudhakar Surve, Xiaoli Z. Fern et al.72 citations
- The adaptive k -meteorologists problem and its application to structure learning and feature selection in reinforcement learning ↗Carlos Diuk, Lihong C. Li, Bethany R. Leffler71 citations
- Multi-assignment clustering for Boolean data ↗Andreas P. Streich, Mario Frank, David Basin et al.67 citations
- The graphlet spectrum ↗Risi Kondor, Nino Shervashidze, Karsten Borgwardt67 citations
- Non-monotonic feature selection ↗Zenglin Xu, Rong Jin, Jieping Ye et al.65 citations
- Learning kernels from indefinite similarities ↗Yihua Chen, Maya R. Gupta, Benjamin Recht64 citations
- Rule learning with monotonicity constraints ↗Wojciech Kotłowski, Roman Słowiński64 citations
- Large-scale collaborative prediction using a nonparametric random effects model ↗Kai Yu, John Lafferty, Shenghuo Zhu B et al.59 citations
- Bandit-based optimization on graphs with application to library performance tuning ↗Frédéric de Mesmay, Arpad Rimmel, Yevgen Voronenko et al.58 citations
- Grammatical inference as a principal component analysis problem ↗Raphaël Bailly, François Denis, Liva Ralaivola58 citations
- Boosting with structural sparsity ↗John C. Duchi, Yoram Singer57 citations
- Generalization analysis of listwise learning-to-rank algorithms ↗Yanyan Lan, Tie‐Yan Liu, Zhi-Ming Ma et al.57 citations
- Uncertainty sampling and transductive experimental design for active dual supervision ↗Vikas Sindhwani, Prem Melville, Richard D. Lawrence56 citations
- Sparse Gaussian graphical models with unknown block structure ↗Benjamin M. Marlin, Kevin P. Murphy52 citations
- Trajectory prediction ↗Nikolay Jetchev, Marc Toussaint52 citations
- A least squares formulation for a class of generalized eigenvalue problems in machine learning ↗Liang Sun, Shuiwang Ji, Jieping Ye49 citations
- Robust bounds for classification via selective sampling ↗Nicolò Cesa‐Bianchi, Claudio Gentile, Francesco Orabona47 citations
- Learning instance specific distances using metric propagation ↗De‐Chuan Zhan, Ming Li, Yu-Feng Li et al.46 citations
- Solution stability in linear programming relaxations ↗Sebastian Nowozin, Stefanie Jegelka45 citations
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