Bharath Sriperumbudur
Bharath Sriperumbudur
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
5712010
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
4402013
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
3872012
Kernel mean embedding of distributions: A review and beyond
K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf
arXiv preprint arXiv:1605.09522, 2016
3752016
Universality, Characteristic Kernels and RKHS Embedding of Measures.
BK Sriperumbudur, K Fukumizu, GRG Lanckriet
Journal of Machine Learning Research 12 (7), 2011
3012011
On the Convergence of the Concave-Convex Procedure.
BK Sriperumbudur, GRG Lanckriet
Nips 9, 1759-1767, 2009
2322009
On the convergence of the concave-convex procedure
G Lanckriet, BK Sriperumbudur
Advances in neural information processing systems 22, 1759-1767, 2009
1982009
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
1902012
A Fast, Consistent Kernel Two-Sample Test.
A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur
NIPS 23, 673-681, 2009
1862009
Kernel choice and classifiability for RKHS embeddings of probability distributions.
BK Sriperumbudur, K Fukumizu, A Gretton, GRG Lanckriet, B Schölkopf
NIPS 22, 1750-1758, 2009
1812009
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
1622008
A majorization-minimization approach to the sparse generalized eigenvalue problem
BK Sriperumbudur, DA Torres, GRG Lanckriet
Machine learning 85 (1-2), 3-39, 2011
1192011
Sparse eigen methods by dc programming
BK Sriperumbudur, DA Torres, GRG Lanckriet
Proceedings of the 24th international conference on Machine learning, 831-838, 2007
1022007
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
1002018
Learning theory for distribution regression
Z Szabó, BK Sriperumbudur, B Póczos, A Gretton
The Journal of Machine Learning Research 17 (1), 5272-5311, 2016
992016
Optimal rates for random Fourier features
BK Sriperumbudur, Z Szabó
arXiv preprint arXiv:1506.02155, 2015
962015
Characteristic Kernels on Groups and Semigroups.
K Fukumizu, BK Sriperumbudur, A Gretton, B Schölkopf
NIPS, 473-480, 2008
902008
Density estimation in infinite dimensional exponential families
B Sriperumbudur, K Fukumizu, A Gretton, A Hyvärinen, R Kumar
Journal of Machine Learning Research 18, 2017
85*2017
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
762012
Two-stage sampled learning theory on distributions
Z Szabó, A Gretton, B Póczos, B Sriperumbudur
Artificial Intelligence and Statistics, 948-957, 2015
752015
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