Bharath Sriperumbudur

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Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Arthur GrettonGatsby Computational Neuroscience Unit and DeepmindVerified email at gatsby.ucl.ac.uk
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Dino SejdinovicProfessor, University of AdelaideVerified email at adelaide.edu.au
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityVerified email at cispa.de
Zoltan SzaboProfessor, LSEVerified email at lse.ac.uk
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 TolstikhinGoogleVerified email at google.com
Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
Revant KumarSenior Machine Learning Engineer, AppleVerified email at gatech.edu
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Krishnakumar BalasubramanianUniversity of California, DavisVerified email at ucdavis.edu
Ingo SteinwartUniversity of StuttgartVerified email at mathematik.uni-stuttgart.de
Matthew ReimherrDepartment of Statistics, Pennsylvania State UniversityVerified email at psu.edu

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	742	2010
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
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
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet	295	2012
On the Convergence of the Concave-Convex Procedure. BK Sriperumbudur, GRG Lanckriet Nips 9, 1759-1767, 2009	283	2009
On the convergence of the concave-convex procedure G Lanckriet, BK Sriperumbudur Advances in neural information processing systems 22, 2009	253	2009
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	245	2018
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
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
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	164	2008
Learning theory for distribution regression Z Szabó, BK Sriperumbudur, B Póczos, A Gretton The Journal of Machine Learning Research 17 (1), 5272-5311, 2016	131	2016
Optimal rates for random Fourier features B Sriperumbudur, Z Szabó Advances in neural information processing systems 28, 2015	131	2015
A majorization-minimization approach to the sparse generalized eigenvalue problem BK Sriperumbudur, DA Torres, GRG Lanckriet Machine learning 85, 3-39, 2011	130	2011
Density estimation in infinite dimensional exponential families B Sriperumbudur, K Fukumizu, A Gretton, A Hyvärinen, R Kumar Journal of Machine Learning Research 18, 2017	112*	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	107	2007
Generalization bounds for online learning algorithms with pairwise loss functions Y Wang, R Khardon, D Pechyony, R Jones Conference on Learning Theory, 13.1-13.22, 2012	94	2012
Characteristic kernels on groups and semigroups K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems 21, 2008	93	2008
Minimax estimation of maximum mean discrepancy with radial kernels IO Tolstikhin, BK Sriperumbudur, B Schölkopf Advances in Neural Information Processing Systems 29, 2016	92	2016

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