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All publications by Kenji Fukumizu
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Kernel Mean Estimation and Stein Effect
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu and Chenlei Leng
Advances in Neural Information Processing Systems 25, 2012


Optimal kernel choice for large-scale two-sample tests
Arthur Gretton, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 25, 2012


Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


Hypothesis testing using pairwise distances and associated kernels
Dino Sejdinovic, Arthur Gretton, Kenji Fukumizu and Bharath K. Sriperumbudur
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Kenji Fukumizu, Gert R. Lanckriet and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 24, 2011


Kernel Bayes' Rule
Kenji Fukumizu, Le Song and Arthur Gretton
Advances in Neural Information Processing Systems 24, 2011


On the relation between universality, characteristic kernels and RKHS embedding of measures
Bharath K. Sriperumbudur, Kenji Fukumizu and Gert Lanckriet
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Hilbert space embeddings of conditional distributions with applications to dynamical systems
Le Song, Jonathan Huang, Kenji Fukumizu and Alex J. Smola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


A Fast, Consistent Kernel Two-Sample Test
Arthur Gretton, Kenji Fukumizu, Za\"ıd Harchaoui and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
Yusuke Watanabe and Kenji Fukumizu
Advances in Neural Information Processing Systems 22, 2009


Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 21, 2008


A kernel-based causal learning algorithm
Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf and Kenji Fukumizu
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo, Le Song, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun and Bernhard Schölkopf
Advances in Neural Information Processing Systems 20, 2007


Statistical Consistency of Kernel Canonical Correlation Analysis
Kenji Fukumizu, Francis R. Bach and Arthur Gretton
Journal of Machine Learning Research, 2007


Kernels on Structured Objects Through Nested Histograms
Marco Cuturi and Kenji Fukumizu
Advances in Neural Information Processing Systems 19, 2006


Statistical Convergence of Kernel CCA
Kenji Fukumizu, Arthur Gretton and Francis R. Bach
Advances in Neural Information Processing Systems 18, 2005


Semigroup Kernels on Measures
Marco Cuturi, Kenji Fukumizu and Jean-philippe Vert
Journal of Machine Learning Research, 2005


Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2004


Kernel Dimensionality Reduction for Supervised Learning
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting
Kenji Fukumizu, Shotaro Akaho and Shun-ichi Amari
Advances in Neural Information Processing Systems 15, 2002