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| 2012 | ||
|---|---|---|
| 52 | Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Two-Sample Test. Journal of Machine Learning Research 13: 723-773 (2012) | |
| 2011 | ||
| 51 | Kenji Fukumizu, Le Song, Arthur Gretton: Kernel Bayes' Rule. NIPS 2011: 1737-1745 | |
| 50 | Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin: Kernel Belief Propagation CoRR abs/1105.5592: (2011) | |
| 49 | Steffen Grünewälder, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton, Guy Lever: Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions CoRR abs/1112.4722: (2011) | |
| 48 | Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin: Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. Journal of Machine Learning Research - Proceedings Track 15: 324-332 (2011) | |
| 47 | Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin: Kernel Belief Propagation. Journal of Machine Learning Research - Proceedings Track 15: 707-715 (2011) | |
| 46 | Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas Bartels, Christoph H. Lampert, Arthur Gretton: Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters 32(11): 1572-1583 (2011) | |
| 2010 | ||
| 45 | Somayeh Danafar, Arthur Gretton, Jürgen Schmidhuber: Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. ECML/PKDD (1) 2010: 264-279 | |
| 44 | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Gert R. G. Lanckriet: Non-parametric estimation of integral probability metrics. ISIT 2010: 1428-1432 | |
| 43 | Arthur Gretton, László Györfi: Consistent Nonparametric Tests of Independence. Journal of Machine Learning Research 11: 1391-1423 (2010) | |
| 42 | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet: Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 11: 1517-1561 (2010) | |
| 41 | Le Song, Arthur Gretton, Carlos Guestrin: Nonparametric Tree Graphical Models. Journal of Machine Learning Research - Proceedings Track 9: 765-772 (2010) | |
| 40 | Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller: Temporal kernel CCA and its application in multimodal neuronal data analysis. Machine Learning 79(1-2): 5-27 (2010) | |
| 39 | Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3(5): 302-318 (2010) | |
| 2009 | ||
| 38 | Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf: Detecting the direction of causal time series. ICML 2009: 101 | |
| 37 | Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg: Generalized Clustering via Kernel Embeddings. KI 2009: 144-152 | |
| 36 | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, Bernhard Schölkopf: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. NIPS 2009: 1750-1758 | |
| 35 | Robert E. Tillman, Arthur Gretton, Peter Spirtes: Nonlinear directed acyclic structure learning with weakly additive noise models. NIPS 2009: 1847-1855 | |
| 34 | Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur: A Fast, Consistent Kernel Two-Sample Test. NIPS 2009: 673-681 | |
| 33 | Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM 2009: 1075-1086 | |
| 32 | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: A note on integral probability metrics and $\phi$-divergences CoRR abs/0901.2698: (2009) | |
| 31 | Hao Shen, Stefanie Jegelka, Arthur Gretton: Fast kernel-based independent component analysis. IEEE Transactions on Signal Processing 57(9): 3498-3511 (2009) | |
| 2008 | ||
| 30 | Arthur Gretton, László Györfi: Nonparametric Independence Tests: Space Partitioning and Kernel Approaches. ALT 2008: 183-198 | |
| 29 | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: Injective Hilbert Space Embeddings of Probability Measures. COLT 2008: 111-122 | |
| 28 | Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton: Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. ECML/PKDD (1) 2008: 133-145 | |
| 27 | Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf: Kernel Methods for Detecting the Direction of Time Series. GfKl 2008: 57-66 | |
| 26 | Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf: Tailoring density estimation via reproducing kernel moment matching. ICML 2008: 992-999 | |
| 25 | Matthew B. Blaschko, Arthur Gretton: Learning Taxonomies by Dependence Maximization. NIPS 2008: 153-160 | |
| 24 | Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola: Kernel Measures of Independence for non-iid Data. NIPS 2008: 1937-1944 | |
| 23 | Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf: Characteristic Kernels on Groups and Semigroups. NIPS 2008: 473-480 | |
| 22 | Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Method for the Two-Sample Problem CoRR abs/0805.2368: (2008) | |
| 2007 | ||
| 21 | Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Approach to Comparing Distributions. AAAI 2007: 1637-1641 | |
| 20 | Alex J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf: A Hilbert Space Embedding for Distributions. ALT 2007: 13-31 | |
| 19 | Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf: A Hilbert Space Embedding for Distributions. Discovery Science 2007: 40-41 | |
| 18 | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt: A dependence maximization view of clustering. ICML 2007: 815-822 | |
| 17 | Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo: Supervised feature selection via dependence estimation. ICML 2007: 823-830 | |
| 16 | Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola: Gene selection via the BAHSIC family of algorithms. ISMB/ECCB (Supplement of Bioinformatics) 2007: 490-498 | |
| 15 | Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola: A Kernel Statistical Test of Independence. NIPS 2007 | |
| 14 | Le Song, Alex J. Smola, Karsten M. Borgwardt, Arthur Gretton: Colored Maximum Variance Unfolding. NIPS 2007 | |
| 13 | Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf: Kernel Measures of Conditional Dependence. NIPS 2007 | |
| 12 | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo: Supervised Feature Selection via Dependence Estimation CoRR abs/0704.2668: (2007) | |
| 11 | Kenji Fukumizu, Francis R. Bach, Arthur Gretton: Statistical Consistency of Kernel Canonical Correlation Analysis. Journal of Machine Learning Research 8: 361-383 (2007) | |
| 10 | Hao Shen, Stefanie Jegelka, Arthur Gretton: Fast Kernel ICA using an Approximate Newton Method. Journal of Machine Learning Research - Proceedings Track 2: 476-483 (2007) | |
| 2006 | ||
| 9 | Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola: Integrating structured biological data by Kernel Maximum Mean Discrepancy. ISMB (Supplement of Bioinformatics) 2006: 49-57 | |
| 8 | Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Method for the Two-Sample-Problem. NIPS 2006: 513-520 | |
| 7 | Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf: Correcting Sample Selection Bias by Unlabeled Data. NIPS 2006: 601-608 | |
| 6 | Manuel Davy, Frédéric Desobry, Arthur Gretton, Christian Doncarli: An online support vector machine for abnormal events detection. Signal Processing 86(8): 2009-2025 (2006) | |
| 2005 | ||
| 5 | Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf: Measuring Statistical Dependence with Hilbert-Schmidt Norms. ALT 2005: 63-77 | |
| 4 | Kenji Fukumizu, Francis R. Bach, Arthur Gretton: Statistical Convergence of Kernel CCA. NIPS 2005 | |
| 3 | Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf: Kernel Methods for Measuring Independence. Journal of Machine Learning Research 6: 2075-2129 (2005) | |
| 2004 | ||
| 2 | Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf: Multivariate Regression via Stiefel Manifold Constraints. DAGM-Symposium 2004: 262-269 | |
| 2003 | ||
| 1 | Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf: Ranking on Data Manifolds. NIPS 2003 | |
Colors in the list of coauthors
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