Bharath Sriperumbudur

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	8392	5928
h-индекс	39	31
i10-индекс	49	45

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Публичен достъп

Преглед на всички

16 статии

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неналични

Въз основа на изисквания при финансирането

Съавтори

Kenji FukumizuThe Institute of Statistical MathematicsПотвърден имейл адрес: ism.ac.jp
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindПотвърден имейл адрес: gatsby.ucl.ac.uk
Gert LanckrietProfessor, UCSDПотвърден имейл адрес: eng.ucsd.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHПотвърден имейл адрес: tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityПотвърден имейл адрес: cs.cmu.edu
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideПотвърден имейл адрес: adelaide.edu.au
Zoltan SzaboProfessor, LSEПотвърден имейл адрес: lse.ac.uk
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityПотвърден имейл адрес: cispa.de
Motonobu KanagawaEURECOMПотвърден имейл адрес: eurecom.fr
Sivaraman BalakrishnanCarnegie Mellon UniversityПотвърден имейл адрес: stat.cmu.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonПотвърден имейл адрес: iit.it
Heiko StrathmannResearch Scientist at DeepmindПотвърден имейл адрес: deepmind.com
Ilya TolstikhinGoogle DeepmindПотвърден имейл адрес: google.com
Krishnakumar BalasubramanianUniversity of California, DavisПотвърден имейл адрес: ucdavis.edu
Philipp HennigUniversity of TübingenПотвърден имейл адрес: uni-tuebingen.de
Revant KumarSenior Machine Learning Engineer, AppleПотвърден имейл адрес: gatech.edu
Zaid HarchaouiUniversity of WashingtonПотвърден имейл адрес: uw.edu
Ingo SteinwartUniversity of StuttgartПотвърден имейл адрес: mathematik.uni-stuttgart.de
Matthew ReimherrAmazon, Pennsylvania State UniversityПотвърден имейл адрес: psu.edu
Purushottam KarIIT KanpurПотвърден имейл адрес: cse.iitk.ac.in

Следене

Bharath Sriperumbudur

Pennsylvania State University

Потвърден имейл адрес: psu.edu - Начална страница

Statistics and Machine Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	869	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	857	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	802	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	767	2013
Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011	554	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	378	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	319	2009
A fast, consistent kernel two-sample test A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur Advances in neural information processing systems 22, 2009	279	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	277	2009
On the convergence of the concave-convex procedure G Lanckriet, BK Sriperumbudur Advances in neural information processing systems 22, 2009	277	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	181	2008
Learning theory for distribution regression Z Szabó, BK Sriperumbudur, B Póczos, A Gretton Journal of Machine Learning Research 17 (152), 1-40, 2016	180	2016
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	142	2011
Minimax estimation of maximum mean discrepancy with radial kernels IO Tolstikhin, BK Sriperumbudur, B Schölkopf Advances in Neural Information Processing Systems 29, 2016	135	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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