Kenji Fukumizu

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Arthur GrettonGatsby Computational Neuroscience Unit and DeepmindVerified 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 ZürichVerified email at tuebingen.mpg.de
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Alex SmolaBoson AIVerified email at smola.org
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityVerified email at cispa.de
Dino SejdinovicProfessor, University of AdelaideVerified email at adelaide.edu.au
Amari S*Verified email at brain.riken.jp
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Motonobu KanagawaEURECOMVerified email at eurecom.fr
Choon Hui TeoAmazonVerified email at amazon.com
Md. Ashad AlamInstructor of Statistics and Data Science, Tulane University School of Medicine, USAVerified email at tulane.edu
Francesco DinuzzoMetaVerified email at fb.com
Marco CuturiApple / CREST-ENSAE.Verified email at apple.com
Song LiuSenior Lecturer in Statistical Science, University of Bristol, UKVerified email at bristol.ac.uk
Kazuo HaraYamagata UniversityVerified email at sci.kj.yamagata-u.ac.jp
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	868	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	742	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	678	2004
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	619	2013
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	617	2017
Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems 20, 2007	615	2007
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	613	2012
Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011	451	2011
Kernel dimension reduction in regression K Fukumizu, FR Bach, MI Jordan	371	2009
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	334	2009
Statistical consistency of kernel canonical correlation analysis. K Fukumizu, FR Bach, A Gretton Journal of Machine Learning Research 8 (2), 2007	307	2007
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet	295	2012
Adaptive method of realizing natural gradient learning for multilayer perceptrons S Amari, H Park, K Fukumizu Neural computation 12 (6), 1399-1409, 2000	259	2000
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	239	2013
A fast, consistent kernel two-sample test A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur Advances in neural information processing systems 22, 2009	233	2009
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	233	2009
Local minima and plateaus in hierarchical structures of multilayer perceptrons K Fukumizu, S Amari Neural networks 13 (3), 317-327, 2000	228	2000
Adaptive natural gradient learning algorithms for various stochastic models H Park, SI Amari, K Fukumizu Neural Networks 13 (7), 755-764, 2000	213	2000
Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf Advances in neural information processing systems 25, 2012	208	2012
Persistence weighted Gaussian kernel for topological data analysis G Kusano, Y Hiraoka, K Fukumizu International conference on machine learning, 2004-2013, 2016	202	2016

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