95 results
(BibTeX)

**Kernel Mean Shrinkage Estimators**
*Journal of Machine Learning Research*, 17(48):1-41, 2016 (article)

**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)

**A Kernel Two-Sample Test **
*Journal of Machine Learning Research*, 13, pages: 723-773, March 2012 (article)

**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)

**On the Empirical Estimation of Integral Probability Metrics**
*Electronic Journal of Statistics*, 6, pages: 1550-1599, 2012 (article)

**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)

**Feature Selection via Dependence Maximization**
*Journal of Machine Learning Research*, 13, pages: 1393-1434, May 2012 (article)

**Kernel Mean Embeddings of POMDPs**
21st Machine Learning Summer School , 2012 (poster)

**Kernel Bellman Equations in POMDPs**
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML'12), 2012 (talk)

**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)

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

**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)

**Semi-supervised kernel canonical correlation analysis with application to human fMRI **
*Pattern Recognition Letters*, 32(11):1572-1583 , August 2011 (article)

**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)

**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)

**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)

**Hilbert Space Embeddings and Metrics on Probability Measures**
*Journal of Machine Learning Research*, 11, pages: 1517-1561, April 2010 (article)

**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)

**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)

**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)