Bharath Sriperumbudur

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Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Arthur GrettonGatsby Computational Neuroscience Unit, UCLVerified 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 Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Krikamol MuandetMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Dino SejdinovicAssociate Professor, University of OxfordVerified email at stats.ox.ac.uk
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 Software Engineer, LinkedInVerified email at gatech.edu
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Ingo SteinwartUniversity of StuttgartVerified email at mathematik.uni-stuttgart.de
Krishnakumar BalasubramanianUniversity of California, DavisVerified email at ucdavis.edu
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	631	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	510	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	485	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	472	2017
Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011	361	2011
On the Convergence of the Concave-Convex Procedure. BK Sriperumbudur, GRG Lanckriet Nips 9, 1759-1767, 2009	258	2009
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	240	2012
On the convergence of the concave-convex procedure G Lanckriet, BK Sriperumbudur Advances in neural information processing systems 22, 2009	228	2009
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
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	199	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	166	2018
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	161	2008
A majorization-minimization approach to the sparse generalized eigenvalue problem BK Sriperumbudur, DA Torres, GRG Lanckriet Machine learning 85 (1), 3-39, 2011	127	2011
Learning theory for distribution regression Z Szabó, BK Sriperumbudur, B Póczos, A Gretton The Journal of Machine Learning Research 17 (1), 5272-5311, 2016	112	2016
Optimal rates for random Fourier features B Sriperumbudur, Z Szabó Advances in neural information processing systems 28, 2015	110	2015
Sparse eigen methods by dc programming BK Sriperumbudur, DA Torres, GRG Lanckriet Proceedings of the 24th international conference on Machine learning, 831-838, 2007	104	2007
Density estimation in infinite dimensional exponential families B Sriperumbudur, K Fukumizu, A Gretton, A Hyvärinen, R Kumar Journal of Machine Learning Research 18, 2017	97*	2017
Characteristic kernels on groups and semigroups K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems 21, 2008	91	2008
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	85	2012
Two-stage sampled learning theory on distributions Z Szabó, A Gretton, B Póczos, B Sriperumbudur Artificial Intelligence and Statistics, 948-957, 2015	84	2015

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