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title: "ICML 2009 — all accepted papers, page 2 — the most cited first"
description: "All 182 papers of ICML 2009 · page 2 of 2, the most cited first; those with our summary link to it."
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# ICML 2009: all accepted papers

182 papers · page 2 of 2 · the most cited first · [← ICML 2009](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/)

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101. **[Multiple indefinite kernel learning with mixed norm regularization ↗](https://doi.org/10.1145/1553374.1553445)**Matthieu Kowalski, Marie Szafranski, Liva Ralaivola*44 citations*
102. **[Proximal regularization for online and batch learning ↗](https://doi.org/10.1145/1553374.1553407)**Chuong B. Do, Quoc Viet Le, Chuan-Sheng Foo*44 citations*
103. **[Accelerated sampling for the Indian Buffet Process ↗](https://doi.org/10.1145/1553374.1553409)**Finale Doshi‐Velez, Zoubin Ghahramani*43 citations*
104. **[Sequential Bayesian prediction in the presence of changepoints ↗](https://doi.org/10.1145/1553374.1553418)**Roman Garnett, Michael A. Osborne, Stephen Roberts*43 citations*
105. **[Model-free reinforcement learning as mixture learning ↗](https://doi.org/10.1145/1553374.1553512)**Nikos A. Vlassis, Marc Toussaint*41 citations*
106. **[Surrogate regret bounds for proper losses ↗](https://doi.org/10.1145/1553374.1553489)**Mark D. Reid, Robert C. Williamson*41 citations*
107. **[Partial order embedding with multiple kernels ↗](https://doi.org/10.1145/1553374.1553467)**Brian McFee, Gert R. G. Lanckriet*40 citations*
108. **[A scalable framework for discovering coherent co-clusters in noisy data ↗](https://doi.org/10.1145/1553374.1553405)**Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh et al.*39 citations*
109. **[ABC-boost ↗](https://doi.org/10.1145/1553374.1553455)**Ping Li*38 citations*
110. **[Binary action search for learning continuous-action control policies ↗](https://doi.org/10.1145/1553374.1553476)**Jason Pazis, Michail G. Lagoudakis*38 citations*
111. **[Learning complex motions by sequencing simpler motion templates ↗](https://doi.org/10.1145/1553374.1553471)**Gerhard M. Neumann, Wolfgang Maass, Jan Peters*37 citations*
112. **[Partially supervised feature selection with regularized linear models ↗](https://doi.org/10.1145/1553374.1553427)**Thibault Helleputte, Pierre Dupont*37 citations*
113. **[Polyhedral outer approximations with application to natural language parsing ↗](https://doi.org/10.1145/1553374.1553466)**André F. T. Martins, Noah A. Smith, Eric P. Xing*35 citations*
114. **[Constraint relaxation in approximate linear programs ↗](https://doi.org/10.1145/1553374.1553478)**Marek Petrik, Shlomo Zilberstein B*32 citations*
115. **[Convex variational Bayesian inference for large scale generalized linear models ↗](https://doi.org/10.1145/1553374.1553472)**Hannes Nickisch, Matthias Seeger*32 citations*
116. **[Detecting the direction of causal time series ↗](https://doi.org/10.1145/1553374.1553477)**Jonas Peters, Dominik Janzing, Arthur Gretton et al.*32 citations*
117. **[Online learning by ellipsoid method ↗](https://doi.org/10.1145/1553374.1553521)**Liu Yang, Rong Jin, Jieping Ye*32 citations*
118. **[Structure learning with independent non-identically distributed data ↗](https://doi.org/10.1145/1553374.1553507)**Robert E. Tillman*32 citations*
119. **[Invited talk: Can learning kernels help performance? ↗](https://doi.org/10.1145/1553374.1553538)**Corinna Cortes*31 citations*
120. **[Learning nonlinear dynamic models ↗](https://doi.org/10.1145/1553374.1553451)**John C. Langford, Ruslan Salakhutdinov, Tong Zhang*30 citations*
121. **[Sparse higher order conditional random fields for improved sequence labeling ↗](https://doi.org/10.1145/1553374.1553483)**Xian Qian, Xiaoqian Jiang, Qi Zhang et al.*30 citations*
122. **[Function factorization using warped Gaussian processes ↗](https://doi.org/10.1145/1553374.1553492)**Mikkel Nørgaard Schmidt*29 citations*
123. **[Geometry-aware metric learning ↗](https://doi.org/10.1145/1553374.1553461)**Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon*27 citations*
124. **[Independent factor topic models ↗](https://doi.org/10.1145/1553374.1553481)**Duangmanee Putthividhya, Hagai T. Attias, Srikantan S. Nagarajan*27 citations*
125. **[SimpleNPKL ↗](https://doi.org/10.1145/1553374.1553537)**Jinfeng Zhuang, Ivor Wai-Hung Tsang, Steven C. H. Hoi*27 citations*
126. **[GAODE and HAODE ↗](https://doi.org/10.1145/1553374.1553414)**M. Julia Flores, José Antonio Gámez, Ana María Martínez et al.*25 citations*
127. **[Ranking interesting subgroups ↗](https://doi.org/10.1145/1553374.1553491)**Stefan Rueping*24 citations*
128. **[A majorization-minimization algorithm for (multiple) hyperparameter learning ↗](https://doi.org/10.1145/1553374.1553415)**Chuan-Sheng Foo, Chuong B. Do, Andrew Ng*23 citations*
129. **[Nonparametric estimation of the precision-recall curve ↗](https://doi.org/10.1145/1553374.1553398)**Stéphan Clémençon, Nicolas Vayatis*23 citations*
130. **[Route kernels for trees ↗](https://doi.org/10.1145/1553374.1553377)**Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti*23 citations*
131. **[Approximate inference for planning in stochastic relational worlds ↗](https://doi.org/10.1145/1553374.1553450)**Tobias Lang, Marc Toussaint*21 citations*
132. **[Discovering options from example trajectories ↗](https://doi.org/10.1145/1553374.1553529)**Peng Zang, Peng Zhou, David C. Minnen et al.*21 citations*
133. **[Optimal reverse prediction ↗](https://doi.org/10.1145/1553374.1553519)**Linli Xu, Martha White, Dale Schuurmans*21 citations*
134. **[Unsupervised search-based structured prediction ↗](https://doi.org/10.1145/1553374.1553401)**Hal Daumé*21 citations*
135. **[Unsupervised hierarchical modeling of locomotion styles ↗](https://doi.org/10.1145/1553374.1553475)**Wei Pan, Lorenzo Torresani*20 citations*
136. **[Fast evolutionary maximum margin clustering ↗](https://doi.org/10.1145/1553374.1553421)**Fabian Cristian Gieseke, Tapio Pahikkala, Oliver Krämer*19 citations*
137. **[Optimistic initialization and greediness lead to polynomial time learning in factored MDPs ↗](https://doi.org/10.1145/1553374.1553502)**István Szita, András Lörincz*19 citations*
138. **[Online feature elicitation in interactive optimization ↗](https://doi.org/10.1145/1553374.1553384)**Craig E. Boutilier, Kevin Regan, Paolo Viappiani*18 citations*
139. **[Optimized expected information gain for nonlinear dynamical systems ↗](https://doi.org/10.1145/1553374.1553387)**Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann*18 citations*
140. **[Archipelago ↗](https://doi.org/10.1145/1553374.1553375)**Ryan Prescott Adams, Zoubin Ghahramani*17 citations*
141. **[Discriminative k -metrics ↗](https://doi.org/10.1145/1553374.1553503)**Arthur D. Szlam, Guillermo Sapiro*17 citations*
142. **[Learning when to stop thinking and do something! ↗](https://doi.org/10.1145/1553374.1553480)**Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári et al.*16 citations*
143. **[Workshop summary: The fourth workshop on evaluation methods for machine learning ↗](https://doi.org/10.1145/1553374.1553546)**Chris Drummond, Nathalie Japkowicz, William Klement et al.*16 citations*
144. **[Tutorial summary: Active learning ↗](https://doi.org/10.1145/1553374.1553559)**Sanjoy Dasgupta, John C. Langford*15 citations*
145. **[Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties ↗](https://doi.org/10.1145/1553374.1553448)**Ondřej Kuželka, Filip Železný*12 citations*
146. **[Split variational inference ↗](https://doi.org/10.1145/1553374.1553382)**Guillaume Bouchard, Onno R. Zoeter*12 citations*
147. **[Bayesian clustering for email campaign detection ↗](https://doi.org/10.1145/1553374.1553424)**Peter Haider, Tobias Scheffer*11 citations*
148. **[K-means in space ↗](https://doi.org/10.1145/1553374.1553514)**Kiri L. Wagstaff, Benjamin Bornstein*11 citations*
149. **[Matrix updates for perceptron training of continuous density hidden Markov models ↗](https://doi.org/10.1145/1553374.1553394)**Chih‐Chieh Cheng, Fei Sha, Lawrence K. Saul*11 citations*
150. **[Active learning for directed exploration of complex systems ↗](https://doi.org/10.1145/1553374.1553386)**Michael C. Burl, Esther Wang*10 citations*
151. **[Learning structurally consistent undirected probabilistic graphical models ↗](https://doi.org/10.1145/1553374.1553490)**Sushmita Mimi Roy, Terran D.R. Lane, Margaret Werner‐Washburne*10 citations*
152. **[Learning to segment from a few well-selected training images ↗](https://doi.org/10.1145/1553374.1553413)**Alireza Farhangfar, Russell Greiner, Csaba Szepesvári*9 citations*
153. **[Predictive representations for policy gradient in POMDPs ↗](https://doi.org/10.1145/1553374.1553383)**Abdeslam Boularias, Brahim Chaib-draa*9 citations*
154. **[A simpler unified analysis of budget perceptrons ↗](https://doi.org/10.1145/1553374.1553500)**Ilya Sutskever*8 citations*
155. **[Learning dictionaries of stable autoregressive models for audio scene analysis ↗](https://doi.org/10.1145/1553374.1553396)**Youngmin Cho, Lawrence K. Saul*8 citations*
156. **[On primal and dual sparsity of Markov networks ↗](https://doi.org/10.1145/1553374.1553536)**Jun Zhu, Eric P. Xing*7 citations*
157. **[Learning linear dynamical systems without sequence information ↗](https://doi.org/10.1145/1553374.1553430)**Tzu-Kuo Huang, Jeff Schneider*6 citations*
158. **[Orbit-product representation and correction of Gaussian belief propagation ↗](https://doi.org/10.1145/1553374.1553436)**Jason K. Johnson, Vladimir Chernyak, Michael Chertkov*6 citations*
159. **[A Bayesian approach to protein model quality assessment ↗](https://doi.org/10.1145/1553374.1553437)**Hetunandan Kamisetty, CHRISTOPHER JAMES LANGMEAD*5 citations*
160. **[Tutorial summary: Large social and information networks ↗](https://doi.org/10.1145/1553374.1553560)**Jure Leskovec*5 citations*
161. **[Tutorial summary: The neuroscience of reinforcement learning ↗](https://doi.org/10.1145/1553374.1553557)**Yael Niv*5 citations*
162. **[Exploiting sparse Markov and covariance structure in multiresolution models ↗](https://doi.org/10.1145/1553374.1553397)**Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky*4 citations*
163. **[Proto-predictive representation of states with simple recurrent temporal-difference networks ↗](https://doi.org/10.1145/1553374.1553464)**Takaki Makino*4 citations*
164. **[Tutorial summary: Learning with dependencies between several response variables ↗](https://doi.org/10.1145/1553374.1553554)**Volker Tresp, Kai Yu*4 citations*
165. **[Invited talk: Drifting games, boosting and online learning ↗](https://doi.org/10.1145/1553374.1553539)**Yoav Freund*2 citations*
166. **[Workshop summary: Abstraction in reinforcement learning ↗](https://doi.org/10.1145/1553374.1553550)**Özgür Şimşek*2 citations*
167. **[Workshop summary: Results of the 2009 reinforcement learning competition ↗](https://doi.org/10.1145/1553374.1553544)**David Wingate, Carlos Diuk, Lihong Li et al.*2 citations*
168. **[Workshop summary: Workshop on learning feature hierarchies ↗](https://doi.org/10.1145/1553374.1553543)**Kay Yu, Ruslan Salakhutdinov, Yann LeCun et al.*2 citations*
169. **[Learning prediction suffix trees with Winnow ↗](https://doi.org/10.1145/1553374.1553438)**Nikos Karampatziakis, Dexter C. Kozen*1 citation*
170. **[Stochastic methods for {ıt l}1 regularized loss minimization ↗](https://doi.acm.org/10.1145/1553374.1553493)**Shai Shalev‐Shwartz, Ambuj Tewari*1 citation*
171. **[Tutorial summary: Reductions in machine learning ↗](https://doi.org/10.1145/1553374.1553552)**Alina Beygelzimer, John C. Langford, Bianca Zadrozny*1 citation*
172. **[Tutorial summary: Survey of boosting from an optimization perspective ↗](https://doi.org/10.1145/1553374.1553555)**Manfred K. Warmuth, S. V. N. Vishwanathan*1 citation*
173. **[Workshop summary: Automated interpretation and modelling of cell images ↗](https://doi.org/10.1145/1553374.1553542)**Robert F. Murphy, Chun‐Nan Hsu, Loris Nanni*1 citation*
174. **[Compositional noisy-logical learning ↗](https://doi.org/10.1145/1553374.1553528)**Alan Yuille, Songfeng Zheng
175. **[Numerical Mathematics in Machine Learning workshop at the 26th International Conference on Machine Learning (ICML 2009) ↗](https://www.research.ed.ac.uk/portal/files/24600300/gp_eval.pdf)**Iain Murray
176. **[Tutorial summary: Convergence of natural dynamics to equilibria ↗](https://doi.org/10.1145/1553374.1553553)**Eyal Even-Dar, Vahab Mirrokni
177. **[Tutorial summary: Machine learning in IR ↗](https://doi.org/10.1145/1553374.1553558)**Paul N. Bennett, Misha Bilenko, Kevyn Collins‐Thompson
178. **[Tutorial summary: Structured prediction for natural language processing ↗](https://doi.org/10.1145/1553374.1553561)**Noah A. Smith
179. **[Workshop summary: Numerical mathematics in machine learning ↗](https://doi.org/10.1145/1553374.1553548)**Matthias Seeger, Suvrit Sra, John P. Cunningham
180. **[Workshop summary: On-line learning with limited feedback ↗](https://doi.org/10.1145/1553374.1553547)**Jean-Yves Audibert, Peter L. Auer, Alessandro Lazaric et al.
181. **[Workshop summary: Seventh annual workshop on Bayes applications ↗](https://doi.org/10.1145/1553374.1553540)**John Mark Agosta, Russell G. Almond, Dennis M. Buede et al.
182. **[Workshop summary: Sparse methods for music audio ↗](https://doi.org/10.1145/1553374.1553551)**Douglas Eck, Daniel P. W. Ellis, Philippe Hamel

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