Kenji Fukumizu

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Arthur GrettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Bharath SriperumbudurPennsylvania State UniversityVerified email at psu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Alex SmolaAmazon Web ServicesVerified email at smola.org
Krikamol MuandetMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Amari S*Verified email at brain.riken.jp
Dino SejdinovicAssociate Professor, University of OxfordVerified email at stats.ox.ac.uk
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Choon Hui TeoAmazonVerified email at amazon.com
Motonobu KanagawaEURECOMVerified email at eurecom.fr
Md. Ashad AlamInstructor of Statistics and Data Science, Tulane University School of Medicine, USAVerified email at tulane.edu
Song LiuLecturer in Statistical Science, University of Bristol, UKVerified email at bristol.ac.uk
Francesco DinuzzoMetaVerified email at fb.com
Kazuo HaraYamagata UniversityVerified email at sci.kj.yamagata-u.ac.jp
Marco CuturiApple / CREST-ENSAE.Verified email at apple.com
Sivaraman BalakrishnanCarnegie Mellon UniversityVerified email at stat.cmu.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it

Kenji Fukumizu

The Institute of Statistical Mathematics

Verified email at ism.ac.jp - Homepage

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A kernel statistical test of independence A Gretton, K Fukumizu, C Teo, L Song, B Schölkopf, A Smola Advances in neural information processing systems 20, 2007	690	2007
Hilbert space embeddings and metrics on probability measures BK Sriperumbudur, A Gretton, K Fukumizu, B Schölkopf, GRG Lanckriet The Journal of Machine Learning Research 11, 1517-1561, 2010	616	2010
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces K Fukumizu, FR Bach, MI Jordan Journal of Machine Learning Research 5 (Jan), 73-99, 2004	609	2004
Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems 20, 2007	530	2007
Equivalence of distance-based and RKHS-based statistics in hypothesis testing D Sejdinovic, B Sriperumbudur, A Gretton, K Fukumizu The Annals of Statistics, 2263-2291, 2013	494	2013
Optimal kernel choice for large-scale two-sample tests A Gretton, D Sejdinovic, H Strathmann, S Balakrishnan, M Pontil, ... Advances in neural information processing systems 25, 2012	474	2012
Kernel mean embedding of distributions: A review and beyond K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf Foundations and Trends® in Machine Learning 10 (1-2), 1-141, 2017	461	2017
Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011	350	2011
Kernel dimension reduction in regression K Fukumizu, FR Bach, MI Jordan The Annals of Statistics 37 (4), 1871-1905, 2009	333	2009
Statistical Consistency of Kernel Canonical Correlation Analysis. K Fukumizu, FR Bach, A Gretton Journal of Machine Learning Research 8 (2), 2007	285	2007
Hilbert space embeddings of conditional distributions with applications to dynamical systems L Song, J Huang, A Smola, K Fukumizu Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	275	2009
Adaptive method of realizing natural gradient learning for multilayer perceptrons S Amari, H Park, K Fukumizu Neural computation 12 (6), 1399-1409, 2000	237	2000
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet Electronic Journal of Statistics 6, 1550-1599, 2012	233	2012
Local minima and plateaus in hierarchical structures of multilayer perceptrons K Fukumizu, S Amari Neural networks 13 (3), 317-327, 2000	205	2000
A fast, consistent kernel two-sample test A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur Advances in neural information processing systems 22, 2009	204	2009
Adaptive natural gradient learning algorithms for various stochastic models H Park, SI Amari, K Fukumizu Neural Networks 13 (7), 755-764, 2000	196	2000
Kernel choice and classifiability for RKHS embeddings of probability distributions K Fukumizu, A Gretton, G Lanckriet, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems 22, 2009	194	2009
Kernel embeddings of conditional distributions: A unified kernel framework for nonparametric inference in graphical models L Song, K Fukumizu, A Gretton IEEE Signal Processing Magazine 30 (4), 98-111, 2013	192	2013
Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf Advances in neural information processing systems 25, 2012	189	2012
Persistence weighted Gaussian kernel for topological data analysis G Kusano, Y Hiraoka, K Fukumizu International Conference on Machine Learning, 2004-2013, 2016	165	2016

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