Bharath Sriperumbudur

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Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Zoltan SzaboProfessor, LSEVerified email at lse.ac.uk
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityVerified email at cispa.de
Motonobu KanagawaEURECOMVerified email at eurecom.fr
Sivaraman BalakrishnanCarnegie Mellon UniversityVerified email at stat.cmu.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Heiko StrathmannResearch Scientist at DeepmindVerified email at deepmind.com
Ilya TolstikhinGoogle DeepmindVerified email at google.com
Krishnakumar BalasubramanianUniversity of California, DavisVerified email at ucdavis.edu
Philipp HennigUniversity of TübingenVerified email at uni-tuebingen.de
Revant KumarSenior Machine Learning Engineer, AppleVerified email at gatech.edu
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Ingo SteinwartUniversity of StuttgartVerified email at mathematik.uni-stuttgart.de
Matthew ReimherrAmazon, Pennsylvania State UniversityVerified email at psu.edu
Purushottam KarIIT KanpurVerified email at cse.iitk.ac.in

Bharath Sriperumbudur

Pennsylvania State University

Verified email at psu.edu - Homepage

Statistics and Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	871	2010
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	862	2017
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	805	2012
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	771	2013
Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011	555	2011
Gaussian processes and kernel methods: A review on connections and equivalences M Kanagawa, P Hennig, D Sejdinovic, BK Sriperumbudur arXiv preprint arXiv:1807.02582, 2018	383	2018
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet	359	2012
On the Convergence of the Concave-Convex Procedure. BK Sriperumbudur, GRG Lanckriet Nips 9, 1759-1767, 2009	320	2009
A fast, consistent kernel two-sample test A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur Advances in neural information processing systems 22, 2009	280	2009
On the convergence of the concave-convex procedure G Lanckriet, BK Sriperumbudur Advances in neural information processing systems 22, 2009	280	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	278	2009
Learning theory for distribution regression Z Szabó, BK Sriperumbudur, B Póczos, A Gretton Journal of Machine Learning Research 17 (152), 1-40, 2016	181	2016
Injective Hilbert space embeddings of probability measures BK Sriperumbudur, A Gretton, K Fukumizu, G Lanckriet, B Schölkopf 21st annual conference on learning theory (COLT 2008), 111-122, 2008	181	2008
Optimal rates for random Fourier features B Sriperumbudur, Z Szabó Advances in neural information processing systems 28, 2015	161	2015
A majorization-minimization approach to the sparse generalized eigenvalue problem BK Sriperumbudur, DA Torres, GRG Lanckriet Machine learning 85, 3-39, 2011	143	2011
Minimax estimation of maximum mean discrepancy with radial kernels IO Tolstikhin, BK Sriperumbudur, B Schölkopf Advances in Neural Information Processing Systems 29, 2016	136	2016
Density estimation in infinite dimensional exponential families B Sriperumbudur, K Fukumizu, A Gretton, A Hyv, R Kumar Journal of Machine Learning Research 18 (57), 1-59, 2017	130*	2017
Sparse eigen methods by dc programming BK Sriperumbudur, DA Torres, GRG Lanckriet Proceedings of the 24th international conference on Machine learning, 831-838, 2007	116	2007
Characteristic kernels on groups and semigroups K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems 21, 2008	114	2008
Two-stage sampled learning theory on distributions Z Szabó, A Gretton, B Póczos, B Sriperumbudur Artificial Intelligence and Statistics, 948-957, 2015	103	2015

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