Bharath Sriperumbudur
Bharath Sriperumbudur
Verified email at psu.edu - Homepage
TitleCited byYear
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
3902010
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
D Sejdinovic, B Sriperumbudur, A Gretton, K Fukumizu
The Annals of Statistics 41 (5), 2263-2291, 2013
2822013
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
2142012
On the convergence of the concave-convex procedure
BK Sriperumbudur, GRG Lanckriet
Proceedings of the 22nd International Conference on Neural Information …, 2009
1902009
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
1672017
Universality, characteristic kernels and RKHS embedding of measures
BK Sriperumbudur, K Fukumizu, GRG Lanckriet
Journal of Machine Learning Research 12 (Jul), 2389-2410, 2011
1632011
On the convergence of the concave-convex procedure
GR Lanckriet, BK Sriperumbudur
Advances in neural information processing systems, 1759-1767, 2009
1542009
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
1292009
A fast, consistent kernel two-sample test
A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur
Advances in neural information processing systems, 673-681, 2009
1292009
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
1262008
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
1012012
A majorization-minimization approach to the sparse generalized eigenvalue problem
BK Sriperumbudur, DA Torres, GRG Lanckriet
Machine learning 85 (1-2), 3-39, 2011
962011
Sparse eigen methods by dc programming
BK Sriperumbudur, DA Torres, GRG Lanckriet
Proceedings of the 24th international conference on Machine learning, 831-838, 2007
932007
Characteristic kernels on groups and semigroups
K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur
Advances in Neural Information Processing Systems, 473-480, 2009
672009
Optimal rates for random fourier features
B Sriperumbudur, Z Szabó
Advances in Neural Information Processing Systems, 1144-1152, 2015
642015
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
59*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
582012
Learning theory for distribution regression
Z Szabó, BK Sriperumbudur, B Póczos, A Gretton
The Journal of Machine Learning Research 17 (1), 5272-5311, 2016
562016
Two-stage sampled learning theory on distributions
Z Szabó, A Gretton, B Póczos, B Sriperumbudur
Artificial Intelligence and Statistics, 948-957, 2015
562015
A proof of convergence of the concave-convex procedure using zangwill's theory
BK Sriperumbudur, GRG Lanckriet
Neural computation 24 (6), 1391-1407, 2012
462012
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Articles 1–20