| 2011 |
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| 33 | Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions. Steffen Grünewälder, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton, Guy Lever. CoRR (abs/1112.4722) (2011). Web SearchBibTeXDownload |
| 32 | Kernel Belief Propagation. Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin. CoRR (abs/1105.5592) (2011). Web SearchBibTeXDownload |
| 31 | Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin. Journal of Machine Learning Research - Proceedings Track (15): 324-332 (2011). Web SearchBibTeXDownload |
| 2010 |
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| 30 | Hilbert Space Embeddings and Metrics on Probability Measures. Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet. Journal of Machine Learning Research (11): 1517-1561 (2010). Web SearchBibTeXDownload |
| 29 | Nonparametric Tree Graphical Models. Le Song, Arthur Gretton, Carlos Guestrin. Journal of Machine Learning Research - Proceedings Track (9): 765-772 (2010). Web SearchBibTeXDownload |
| 28 | Discriminative frequent subgraph mining with optimality guarantees. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt. Statistical Analysis and Data Mining (3): 302-318 (2010). Web SearchBibTeXDownload |
| 2009 |
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| 27 | A note on integral probability metrics and $\\phi$-divergences. Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf. CoRR (abs/0901.2698) (2009). Web SearchBibTeXDownload |
| 26 | Detecting the direction of causal time series. Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf. ICML 2009, 101. Web SearchBibTeXDownload |
| 25 | Generalized Clustering via Kernel Embeddings. Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg. KI 2009, 144-152. Web SearchBibTeXDownload |
| 24 | Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, Bernhard Schölkopf. NIPS 2009, 1750-1758. Web SearchBibTeXDownload |
| 23 | Nonlinear directed acyclic structure learning with weakly additive noise models. Robert E. Tillman, Arthur Gretton, Peter Spirtes. NIPS 2009, 1847-1855. Web SearchBibTeXDownload |
| 22 | Near-optimal Supervised Feature Selection among Frequent Subgraphs. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt. SDM 2009, 1075-1086. Cited by 5Web SearchBibTeXDownload |
| 2008 |
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| 21 | Injective Hilbert Space Embeddings of Probability Measures. Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf. COLT 2008, 111-122. Web SearchBibTeXDownload |
| 20 | A Kernel Method for the Two-Sample Problem. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola. CoRR (abs/0805.2368) (2008). Web SearchBibTeXDownload |
| 19 | Tailoring density estimation via reproducing kernel moment matching. Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf. ICML 2008, 992-999. Web SearchBibTeXDownload |
| 18 | Characteristic Kernels on Groups and Semigroups. Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf. NIPS 2008, 473-480. Web SearchBibTeXDownload |
| 17 | Kernel Measures of Independence for non-iid Data. Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola. NIPS 2008, 1937-1944. Web SearchBibTeXDownload |
| 2007 |
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| 16 | A Kernel Approach to Comparing Distributions. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola. AAAI 2007, 1637-1641. Web SearchBibTeX |
| 15 | A Hilbert Space Embedding for Distributions. Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf. ALT 2007, 13-31. Web SearchBibTeXDownload |
| 14 | Supervised Feature Selection via Dependence Estimation. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo. CoRR (abs/0704.2668) (2007). Web SearchBibTeXDownload |
| 13 | Supervised feature selection via dependence estimation. Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo. ICML 2007, 823-830. Web SearchBibTeXDownload |
| 12 | A dependence maximization view of clustering. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt. ICML 2007, 815-822. Web SearchBibTeXDownload |
| 11 | Gene selection via the BAHSIC family of algorithms. Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola. ISMB/ECCB (Supplement of Bioinformatics) 2007, 490-498. Web SearchBibTeXDownload |
| 10 | Colored Maximum Variance Unfolding. Le Song, Alex J. Smola, Karsten M. Borgwardt, Arthur Gretton. NIPS 2007. Web SearchBibTeXDownload |
| 9 | Kernel Measures of Conditional Dependence. Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf. NIPS 2007. Web SearchBibTeXDownload |
| 8 | A Kernel Statistical Test of Independence. Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola. NIPS 2007. Web SearchBibTeXDownload |
| 2006 |
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| 7 | Integrating structured biological data by Kernel Maximum Mean Discrepancy. Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola. ISMB (Supplement of Bioinformatics) 2006, 49-57. Cited by 41Web SearchBibTeXDownload |
| 6 | Correcting Sample Selection Bias by Unlabeled Data. Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf. NIPS 2006, 601-608. Web SearchBibTeXDownload |
| 5 | A Kernel Method for the Two-Sample-Problem. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola. NIPS 2006, 513-520. Web SearchBibTeXDownload |
| 2005 |
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| 4 | Measuring Statistical Dependence with Hilbert-Schmidt Norms. Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf. ALT 2005, 63-77. Web SearchBibTeXDownload |
| 3 | Kernel Methods for Measuring Independence. Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf. Journal of Machine Learning Research (6): 2075-2129 (2005). Web SearchBibTeXDownload |
| 2004 |
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| 2 | Multivariate Regression via Stiefel Manifold Constraints. Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf. DAGM-Symposium 2004, 262-269. Web SearchBibTeXDownload |
| 2003 |
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| 1 | Ranking on Data Manifolds. Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf. NIPS 2003. Web SearchBibTeXDownload |
