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)

**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)

**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)

**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)

**Consistent Nonparametric Tests of Independence**
*Journal of Machine Learning Research*, 11, pages: 1391-1423, 2010 (article)

**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)

**Discriminative frequent subgraph mining with optimality guarantees**
*Journal of Statistical Analysis and Data Mining*, 3(5):302–318, October 2010 (article)

**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)

**Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis**
*Machine Learning*, 79(1-2):5-27, May 2010 (article)

**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)

**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)

**Discussion of: Brownian Distance Covariance**
*The Annals of Applied Statistics*, 3(4):1285-1294, 2009 (article)

**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)

**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)

**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)

**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)

**Consistent Nonparametric Tests of Independence**
(172), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2009 (techreport)

**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)

**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)

**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)

**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)

**Fast Kernel-Based Independent Component Analysis**
*IEEE Transactions on Signal Processing*, 57(9):3498-3511, September 2009 (article)

**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)

**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)

**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)

**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)

**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)

**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)

**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)

**A Kernel Method for the Two-sample Problem**
(157), Max-Planck-Institute for Biological Cybernetics Tübingen, April 2008 (techreport)

**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)

**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)

**Painless Embeddings of Distributions: the Function Space View (Part 1)**
25th International Conference on Machine Learning (ICML), July 2008 (talk)

**Inferring Spike Trains From Local Field Potentials**
*Journal of Neurophysiology*, 99(3):1461-1476, March 2008 (article)