Bharath Sriperumbudur - Google Scholar Citations

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	All	Since 2015
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Co-authors

arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; and Distinguished Amazon ScholarVerified email at tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zoltan SzaboResearch Director, Center of Applied Mathematics (CMAP), École PolytechniqueVerified email at polytechnique.edu
Dino SejdinovicUniversity of OxfordVerified email at stats.ox.ac.uk
Krikamol MuandetMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.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 ucl.ac.uk
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Aapo HyvarinenINRIA & University of HelsinkiVerified email at helsinki.fi
Ilya TolstikhinGoogle AIVerified email at google.com
Ingo SteinwartUniversity of StuttgartVerified email at mathematik.uni-stuttgart.de
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Guy LebanonDirector at GoogleVerified email at google.com
Krishnakumar BalasubramanianUniversity of California, DavisVerified email at ucdavis.edu
Ulrike von LuxburgUniversity of TuebingenVerified email at informatik.uni-tuebingen.de

Bharath Sriperumbudur

Pennsylvania State University

Verified email at psu.edu - Homepage

Statistics and Machine Learning


Title	Cited by	Year
Hilbert space embeddings and metrics on probability measures BK Sriperumbudur, A Gretton, K Fukumizu, B Schölkopf, GRG Lanckriet Journal of Machine Learning Research 11 (Apr), 1517-1561, 2010	408	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	309	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, 1205-1213, 2012	236	2012
On the convergence of the concave-convex procedure BK Sriperumbudur, GRG Lanckriet Proceedings of the 22nd International Conference on Neural Information …, 2009	192	2009
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	190	2017
Universality, characteristic kernels and RKHS embedding of measures BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (Jul), 2389-2410, 2011	177	2011
On the convergence of the concave-convex procedure GR Lanckriet, BK Sriperumbudur Advances in neural information processing systems, 1759-1767, 2009	161	2009
A fast, consistent kernel two-sample test A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur Advances in neural information processing systems, 673-681, 2009	136	2009
Kernel choice and classifiability for RKHS embeddings of probability distributions K Fukumizu, A Gretton, GR Lanckriet, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems, 1750-1758, 2009	131	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	129	2008
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	109	2012
A majorization-minimization approach to the sparse generalized eigenvalue problem BK Sriperumbudur, DA Torres, GRG Lanckriet Machine learning 85 (1-2), 3-39, 2011	98	2011
Sparse eigen methods by dc programming BK Sriperumbudur, DA Torres, GRG Lanckriet Proceedings of the 24th international conference on Machine learning, 831-838, 2007	94	2007
Characteristic kernels on groups and semigroups K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems, 473-480, 2009	68	2009
Optimal rates for random fourier features B Sriperumbudur, Z Szabó Advances in Neural Information Processing Systems, 1144-1152, 2015	66	2015
Learning theory for distribution regression Z Szabó, BK Sriperumbudur, B Póczos, A Gretton The Journal of Machine Learning Research 17 (1), 5272-5311, 2016	59	2016
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	59	2012
Density estimation in infinite dimensional exponential families B Sriperumbudur, K Fukumizu, A Gretton, A Hyvärinen, R Kumar The Journal of Machine Learning Research 18 (1), 1830-1888, 2017	58*	2017
Two-stage sampled learning theory on distributions Z Szabó, A Gretton, B Póczos, B Sriperumbudur Artificial Intelligence and Statistics, 948-957, 2015	56	2015
A proof of convergence of the concave-convex procedure using zangwill's theory BK Sriperumbudur, GRG Lanckriet Neural computation 24 (6), 1391-1407, 2012	47	2012

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