Muandet, K., Sriperumbudur, B., Fukumizu, K., Gretton, A., Schölkopf, B.
Kernel Mean Shrinkage Estimators
Journal of Machine Learning Research, 17(48):1-41, 2016 (article)
Muandet, K., Fukumizu, K., Sriperumbudur, B., Gretton, A., Schölkopf, B.
Kernel Mean Estimation and Stein Effect
In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), pages: 10-18, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)
Song, L., Smola, A., Gretton, A., Bedo, J., Borgwardt, K.
Feature Selection via Dependence Maximization
Journal of Machine Learning Research, 13, pages: 1393-1434, May 2012 (article)
Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., Smola, A.
A Kernel Two-Sample Test
Journal of Machine Learning Research, 13, pages: 723-773, March 2012 (article)
Grünewälder, S., Lever, G., Baldassarre, L., Pontil, M., Gretton, A.
Modelling transition dynamics in MDPs with RKHS embeddings
In Proceedings of the 29th International Conference on Machine Learning, pages: 535-542, (Editors: J Langford and J Pineau), Omnipress, New York, NY, USA, ICML, 2012 (inproceedings)
Sriperumbudur, B., Fukumizu, K., Gretton, A., Schölkopf, B., Lanckriet, G.
On the Empirical Estimation of Integral Probability Metrics
Electronic Journal of Statistics, 6, pages: 1550-1599, 2012 (article)
Grünewälder, S., Lever, G., Baldassarre, L., Patterson, S., Gretton, A., Pontil, M.
Conditional mean embeddings as regressors
In Proceedings of the 29th International Conference on Machine Learning, pages: 1823-1830, (Editors: J Langford and J Pineau), Omnipress, New York, NY, USA, ICML, 2012 (inproceedings)
Nishiyama, Y., Boularias, A., Gretton, A., Fukumizu, K.
Kernel Mean Embeddings of POMDPs
21st Machine Learning Summer School , 2012 (poster)
Nishiyama, Y., Boularias, A., Gretton, A., Fukumizu, K.
Kernel Bellman Equations in POMDPs
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML'12), 2012 (talk)
Sejdinovic, D., Gretton, A., Sriperumbudur, B., Fukumizu, K.
Hypothesis testing using pairwise distances and associated kernels
In Proceedings of the 29th International Conference on Machine Learning, pages: 1111-1118, (Editors: J Langford and J Pineau), Omnipress, New York, NY, USA, ICML, 2012 (inproceedings)
Nishiyama, Y., Boularias, A., Gretton, A., Fukumizu, K.
Hilbert Space Embeddings of POMDPs
In Conference on Uncertainty in Artificial Intelligence (UAI), 2012 (inproceedings)
Gretton, A., Sriperumbudur, B., Sejdinovic, D., Strathmann, H., Balakrishnan, S., Pontil, M., Fukumizu, K.
Optimal kernel choice for large-scale two-sample tests
In Advances in Neural Information Processing Systems 25, pages: 1214-1222, (Editors: P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger), Curran Associates Inc., 26th Annual Conference on Neural Information Processing Systems (NIPS), 2012 (inproceedings)
Blaschko, M., Shelton, J., Bartels, A., Lampert, C., Gretton, A.
Semi-supervised kernel canonical correlation analysis with application to human fMRI
Pattern Recognition Letters, 32(11):1572-1583 , August 2011 (article)
Fukumizu, K., Song, L., Gretton, A.
Kernel Bayes’ Rule
In Advances in Neural Information Processing Systems 24, pages: 1737-1745, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)
Song, L., Gretton, A., Bickson, D., Low, Y., Guestrin, C.
Kernel Belief Propagation
In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15, pages: 707-715, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)
Gonzalez, J., Low, Y., Gretton, A., Guestrin, C.
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15, pages: 324-332, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)
Shelton, J., Blaschko, M., Gretton, A., Müller, J., Fischer, E., Bartels, A.
Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI
NIPS Workshop on Learning and Planning from Batch Time Series Data, December 2010 (poster)
Thoma, M., Cheng, H., Gretton, A., Han, J., Kriegel, H., Smola, A., Song, L., Yu, P., Yan, X., Borgwardt, K.
Discriminative frequent subgraph mining with optimality guarantees
Journal of Statistical Analysis and Data Mining, 3(5):302–318, October 2010 (article)
Sriperumbudur, B., Fukumizu, K., Gretton, A., Schölkopf, B., Lanckriet, G.
Non-parametric estimation of integral probability metrics
In Proceedings of the IEEE International Symposium on Information Theory (ISIT 2010), pages: 1428-1432, IEEE, Piscataway, NJ, USA, IEEE International Symposium on Information Theory (ISIT), June 2010 (inproceedings)
Biessmann, F., Meinecke, F., Gretton, A., Rauch, A., Rainer, G., Logothetis, N., Müller, K.
Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis
Machine Learning, 79(1-2):5-27, May 2010 (article)
Sriperumbudur, B., Gretton, A., Fukumizu, K., Schölkopf, B., Lanckriet, G.
Hilbert Space Embeddings and Metrics on Probability Measures
Journal of Machine Learning Research, 11, pages: 1517-1561, April 2010 (article)
Song, L., Gretton, A., Guestrin, C.
Nonparametric Tree Graphical Models
In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, Volume 9 , pages: 765-772, (Editors: YW Teh and M Titterington ), JMLR, AISTATS, 2010 (inproceedings)
Gretton, A., Györfi, L.
Consistent Nonparametric Tests of Independence
Journal of Machine Learning Research, 11, pages: 1391-1423, 2010 (article)
Danafar, S., Gretton, A., Schmidhuber, J.
Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition
In Machine Learning and Knowledge Discovery in Databases, LNCS Vol. 6321, pages: 264-279, (Editors: JL Balcázar and F Bonchi and A Gionis and M Sebag), Springer, Berlin, Germany, ECML PKDD, 2010 (inproceedings)
Peters, J., Janzing, D., Gretton, A., Schölkopf, B.
Kernel Methods for Detecting the Direction of Time Series
In Advances in Data Analysis, Data Handling and Business Intelligence, pages: 57-66, (Editors: A Fink and B Lausen and W Seidel and A Ultsch), Springer, Berlin, Germany, 32nd Annual Conference of the Gesellschaft f{\"u}r Klassifikation e.V. (GfKl), 2010 (inproceedings)
Jegelka, S., Gretton, A., Schölkopf, B., Sriperumbudur, B., von Luxburg, U.
Generalized Clustering via Kernel Embeddings
In KI 2009: AI and Automation, Lecture Notes in Computer Science, Vol. 5803, pages: 144-152, (Editors: B Mertsching and M Hund and Z Aziz), Springer, Berlin, Germany, 32nd Annual Conference on Artificial Intelligence (KI), September 2009 (inproceedings)
Shen, H., Jegelka, S., Gretton, A.
Fast Kernel-Based Independent Component Analysis
IEEE Transactions on Signal Processing, 57(9):3498-3511, September 2009 (article)
Gretton, A., Györfi, L.
Consistent Nonparametric Tests of Independence
(172), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2009 (techreport)
Peters, J., Janzing, D., Gretton, A., Schölkopf, B.
Detecting the Direction of Causal Time Series
In Proceedings of the 26th International Conference on Machine Learning, pages: 801-808, (Editors: A Danyluk and L Bottou and ML Littman), ACM Press, New York, NY, USA, ICML, June 2009 (inproceedings)
Blaschko, M., Gretton, A.
Learning Taxonomies by Dependence Maximization
In Advances in neural information processing systems 21, pages: 153-160, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)
Fukumizu, K., Sriperumbudur, B., Gretton, A., Schölkopf, B.
Characteristic Kernels on Groups and Semigroups
In Advances in neural information processing systems 21, pages: 473-480, (Editors: D Koller and D Schuurmans and Y Bengio and L Bottou), Curran, Red Hook, NY, USA, 22nd Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)
Zhang, X., Song, L., Gretton, A., Smola, A.
Kernel Measures of Independence for Non-IID Data
In Advances in neural information processing systems 21, pages: 1937-1944, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)
Thoma, M., Cheng, H., Gretton, A., Han, J., Kriegel, H., Smola, A., Song, L., Yu, P., Yan, X., Borgwardt, K.
Near-optimal supervised feature selection among frequent subgraphs
In Proccedings of the 2009 SIAM Conference on Data Mining (SDM 2009), pages: 1076-1087, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 9th SIAM Conference on Data Mining (SDM), May 2009 (inproceedings)
Sriperumbudur, B., Fukumizu, K., Gretton, A., Lanckriet, G., Schölkopf, B.
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
In Advances in Neural Information Processing Systems 22, pages: 1750-1758, (Editors: Y Bengio and D Schuurmans and J Lafferty and C Williams and A Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)
Tillman, R., Gretton, A., Spirtes, P.
Nonlinear directed acyclic structure learning with weakly additive noise models
In Advances in Neural Information Processing Systems 22, pages: 1847-1855, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)
Gretton, A., Fukumizu, K., Sriperumbudur, B.
Discussion of: Brownian Distance Covariance
The Annals of Applied Statistics, 3(4):1285-1294, 2009 (article)
Gretton, A., Smola, A., Huang, J., Schmittfull, M., Borgwardt, K., Schölkopf, B.
Covariate shift and local learning by distribution matching
In Dataset Shift in Machine Learning, pages: 131-160, (Editors: Quiñonero-Candela, J., Sugiyama, M., Schwaighofer, A. and Lawrence, N. D.), MIT Press, Cambridge, MA, USA, 2009 (inbook)
Gretton, A., Fukumizu, K., Harchaoui, Z., Sriperumbudur, B.
A Fast, Consistent Kernel Two-Sample Test
In Advances in Neural Information Processing Systems 22, pages: 673-681, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)
Blaschko, M., Gretton, A.
Taxonomy Inference Using Kernel Dependence
Measures
(181), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)
Gretton, A., Györfi, L.
Nonparametric Independence Tests: Space
Partitioning and Kernel Approaches
In ALT08, pages: 183-198, (Editors: Freund, Y. , L. Györfi, G. Turán, T. Zeugmann), Springer, Berlin, Germany, 19th International Conference on Algorithmic Learning Theory (ALT08), October 2008 (inproceedings)
Gretton, A., Györfi, L.
Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches
19th International Conference on Algorithmic Learning Theory (ALT08), October 2008 (talk)
Fukumizu, K., Gretton, A., Sun, X., Schölkopf, B.
Kernel Measures of Conditional Dependence
In Advances in neural information processing systems 20, pages: 489-496, (Editors: JC Platt and D Koller and Y Singer and S Roweis), Curran, Red Hook, NY, USA, 21st Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)
Ku, S., Gretton, A., Macke, J., Logothetis, N.
Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys
Magnetic Resonance Imaging, 26(7):1007-1014, September 2008 (article)
Song, L., Smola, A., Borgwardt, K., Gretton, A.
Colored Maximum Variance Unfolding
In Advances in neural information processing systems 20, pages: 1385-1392, (Editors: Platt, J. C., D. Koller, Y. Singer, S. Roweis), Curran, Red Hook, NY, USA, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)
Gretton, A., Fukumizu, K., Teo, C., Song, L., Schölkopf, B., Smola, A.
A Kernel Statistical Test of Independence
In Advances in neural information processing systems 20, pages: 585-592, (Editors: JC Platt and D Koller and Y Singer and S Roweis), Curran, Red Hook, NY, USA, 21st Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)
Blaschko, M., Lampert, C., Gretton, A.
Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
In ECML PKDD 2008, pages: 133-145, (Editors: Daelemans, W. , B. Goethals, K. Morik), Springer, Berlin, Germany, 19th European Conference on Machine Learning, August 2008 (inproceedings)
Schölkopf, B., Sriperumbudur, B., Gretton, A., Fukumizu, K.
RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics
In OWR 2008, pages: 42-44, (Editors: K Jetter and S Smale and D-X Zhou), Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany, 30. Oberwolfach Report, August 2008 (inproceedings)
Song, L., Zhang, X., Smola, A., Gretton, A., Schölkopf, B.
Tailoring density estimation via reproducing kernel moment matching
In Proceedings of the 25th International Conference onMachine Learning, pages: 992-999, (Editors: WW Cohen and A McCallum and S Roweis), ACM Press, New York, NY, USA, ICML, July 2008 (inproceedings)
Sriperumbudur, B., Gretton, A., Fukumizu, K., Lanckriet, G., Schölkopf, B.
Injective Hilbert Space Embeddings of Probability Measures
In Proceedings of the 21st Annual Conference on Learning Theory, pages: 111-122, (Editors: RA Servedio and T Zhang), Omnipress, Madison, WI, USA, 21st Annual Conference on Learning Theory (COLT), July 2008 (inproceedings)
Blaschko, M., Gretton, A.
A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery
In MLG 2008, pages: 1-3, 6th International Workshop on Mining and Learning with Graphs, July 2008 (inproceedings)