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Bharath Sriperumbudur
Bharath Sriperumbudur
Pennsylvania State University
Bestätigte E-Mail-Adresse bei psu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
8402010
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
7702017
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
7232012
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
7202013
Universality, Characteristic Kernels and RKHS Embedding of Measures.
BK Sriperumbudur, K Fukumizu, GRG Lanckriet
Journal of Machine Learning Research 12 (7), 2011
5132011
On the empirical estimation of integral probability metrics
BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet
3402012
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
3272018
On the Convergence of the Concave-Convex Procedure.
BK Sriperumbudur, GRG Lanckriet
Nips 9, 1759-1767, 2009
3052009
On the convergence of the concave-convex procedure
G Lanckriet, BK Sriperumbudur
Advances in neural information processing systems 22, 2009
2712009
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
2662009
A fast, consistent kernel two-sample test
A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur
Advances in neural information processing systems 22, 2009
2612009
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
1732008
Learning theory for distribution regression
Z Szabó, BK Sriperumbudur, B Póczos, A Gretton
Journal of Machine Learning Research 17 (152), 1-40, 2016
1672016
Optimal rates for random Fourier features
B Sriperumbudur, Z Szabó
Advances in neural information processing systems 28, 2015
1552015
A majorization-minimization approach to the sparse generalized eigenvalue problem
BK Sriperumbudur, DA Torres, GRG Lanckriet
Machine learning 85, 3-39, 2011
1382011
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
126*2017
Minimax estimation of maximum mean discrepancy with radial kernels
IO Tolstikhin, BK Sriperumbudur, B Schölkopf
Advances in Neural Information Processing Systems 29, 2016
1212016
Sparse eigen methods by dc programming
BK Sriperumbudur, DA Torres, GRG Lanckriet
Proceedings of the 24th international conference on Machine learning, 831-838, 2007
1132007
Characteristic kernels on groups and semigroups
K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur
Advances in neural information processing systems 21, 2008
1102008
Two-stage sampled learning theory on distributions
Z Szabó, A Gretton, B Póczos, B Sriperumbudur
Artificial Intelligence and Statistics, 948-957, 2015
1022015
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