ML Anthology

Sriperumbudur, Bharath K.

26 publications

JMLR 2025 (De)-Regularized Maximum Mean Discrepancy Gradient Flow Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur
JMLR 2024 Spectral Regularized Kernel Goodness-of-Fit Tests Omar Hagrass, Bharath K. Sriperumbudur, Bing Li
JMLR 2023 Adaptive Clustering Using Kernel Density Estimators Ingo Steinwart, Bharath K. Sriperumbudur, Philipp Thomann
JMLR 2023 On Distance and Kernel Measures of Conditional Dependence Tianhong Sheng, Bharath K. Sriperumbudur
JMLR 2022 Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA Nicholas Sterge, Bharath K. Sriperumbudur
NeurIPS 2020 Robust Persistence Diagrams Using Reproducing Kernels Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki, Bharath K. Sriperumbudur
FnTML 2017 Kernel Mean Embedding of Distributions: A Review and Beyond Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Bernhard Schölkopf
JMLR 2017 Minimax Estimation of Kernel Mean Embeddings Ilya Tolstikhin, Bharath K. Sriperumbudur, Krikamol Muandet
NeurIPS 2016 Convergence Guarantees for Kernel-Based Quadrature Rules in Misspecified Settings Motonobu Kanagawa, Bharath K. Sriperumbudur, Kenji Fukumizu
JMLR 2016 Learning Theory for Distribution Regression Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos, Arthur Gretton
NeurIPS 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels Ilya O Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf
AISTATS 2015 Two-Stage Sampled Learning Theory on Distributions Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
AISTATS 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon
ICML 2012 Hypothesis Testing Using Pairwise Distances and Associated Kernels Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu
NeurIPS 2012 Optimal Kernel Choice for Large-Scale Two-Sample Tests Arthur Gretton, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu, Bharath K. Sriperumbudur
MLJ 2011 A Majorization-Minimization Approach to the Sparse Generalized Eigenvalue Problem Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet
NeurIPS 2011 Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint Kenji Fukumizu, Gert R. Lanckriet, Bharath K. Sriperumbudur
JMLR 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R.G. Lanckriet
JMLR 2010 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R.G. Lanckriet
NeurIPS 2009 A Fast, Consistent Kernel Two-Sample Test Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur
NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet, Bernhard Schölkopf, Bharath K. Sriperumbudur
NeurIPS 2009 On the Convergence of the Concave-Convex Procedure Gert R. Lanckriet, Bharath K. Sriperumbudur
NeurIPS 2008 Characteristic Kernels on Groups and Semigroups Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur
COLT 2008 Injective Hilbert Space Embeddings of Probability Measures Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf
ICML 2008 Metric Embedding for Kernel Classification Rules Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G. Lanckriet
ICML 2007 Sparse Eigen Methods by D.C. Programming Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet