95 results
(BibTeX)

**Kernel Mean Shrinkage Estimators** *Journal of Machine Learning Research*
(Article)

**Kernel Mean Estimation and Stein Effect** In: *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, 10-18, JMLR, ICML 2014
(In Proceedings)

**A Kernel Two-Sample Test ** *Journal of Machine Learning Research*, 13, 723−773
(Article)

**Modelling transition dynamics in MDPs with RKHS embeddings** In: *Proceedings of the 29th International Conference on Machine Learning*, 535–542, Omnipress, New York, NY, USA, ICML 2012
(In Proceedings)

**On the Empirical Estimation of Integral Probability Metrics** *Electronic Journal of Statistics*, 6, 1550-1599
(Article)

**Conditional mean embeddings as regressors** In: *Proceedings of the 29th International Conference on Machine Learning*, 1823–1830, Omnipress, New York, NY, USA, ICML 2012
(In Proceedings)

**Feature Selection via Dependence Maximization** *Journal of Machine Learning Research*, 13, 1393-1434
(Article)

**Kernel Mean Embeddings of POMDPs** 21st Machine Learning Summer School
(Poster)

**Kernel Bellman Equations in POMDPs** Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML’12)
(Talk)

**Hypothesis testing using pairwise distances and associated kernels** In: *Proceedings of the 29th International Conference on Machine Learning*, 1111–1118, Omnipress, New York, NY, USA, ICML 2012
(In Proceedings)

**Hilbert Space Embeddings of POMDPs** Conference on Uncertainty in Artificial Intelligence (UAI 2012)
(In Proceedings)

**Optimal kernel choice for large-scale two-sample tests** In: *Advances in Neural Information Processing Systems 25*, 1214–1222, Curran Associates Inc., 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
(In Proceedings)

**Semi-supervised kernel canonical correlation analysis with application to human fMRI ** *Pattern Recognition Letters*, 32(11):1572-1583
(Article)

**Kernel Bayes’ Rule** In: *Advances in Neural Information Processing Systems 24*, 1737-1745, Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011)
(In Proceedings)

**Kernel Belief Propagation** In: *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, 707-715, JMLR, AISTATS 2011
(In Proceedings)

**Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees ** In: *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, 324-332, JMLR, AISTATS 2011
(In Proceedings)

**Hilbert Space Embeddings and Metrics on Probability Measures** *Journal of Machine Learning Research*, 11, 1517-1561
(Article)

**Non-parametric estimation of integral probability metrics** *Proceedings of the IEEE International Symposium on Information Theory (ISIT 2010)*, 1428-1432, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, IEEE International Symposium on Information Theory (ISIT 2010)
(In Proceedings)

**Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI** NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data
(Poster)

**Nonparametric Tree Graphical Models** In: *Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, Volume 9 *, 765–772, JMLR, AISTATS 2010
(In Proceedings)