Follow
Bharath Sriperumbudur
Bharath Sriperumbudur
Verified email at psu.edu - Homepage
Title
Cited by
Cited by
Year
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
7882010
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
6912017
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
6872012
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
6762013
Universality, Characteristic Kernels and RKHS Embedding of Measures.
BK Sriperumbudur, K Fukumizu, GRG Lanckriet
Journal of Machine Learning Research 12 (7), 2011
4862011
On the empirical estimation of integral probability metrics
BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet
3302012
On the Convergence of the Concave-Convex Procedure.
BK Sriperumbudur, GRG Lanckriet
Nips 9, 1759-1767, 2009
2932009
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
2882018
On the convergence of the concave-convex procedure
G Lanckriet, BK Sriperumbudur
Advances in neural information processing systems 22, 2009
2632009
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
2532009
A fast, consistent kernel two-sample test
A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur
Advances in neural information processing systems 22, 2009
2532009
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
1692008
Learning theory for distribution regression
Z Szabó, BK Sriperumbudur, B Póczos, A Gretton
The Journal of Machine Learning Research 17 (1), 5272-5311, 2016
1492016
Optimal rates for random Fourier features
B Sriperumbudur, Z Szabó
Advances in neural information processing systems 28, 2015
1452015
A majorization-minimization approach to the sparse generalized eigenvalue problem
BK Sriperumbudur, DA Torres, GRG Lanckriet
Machine learning 85, 3-39, 2011
1342011
Density estimation in infinite dimensional exponential families
B Sriperumbudur, K Fukumizu, A Gretton, A Hyvärinen, R Kumar
Journal of Machine Learning Research 18, 2017
121*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
1112007
Minimax estimation of maximum mean discrepancy with radial kernels
IO Tolstikhin, BK Sriperumbudur, B Schölkopf
Advances in Neural Information Processing Systems 29, 2016
1092016
Characteristic kernels on groups and semigroups
K Fukumizu, A Gretton, B Schölkopf, BK Sriperumbudur
Advances in neural information processing systems 21, 2008
1052008
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
972012
The system can't perform the operation now. Try again later.
Articles 1–20