← Authors

Bharath K. Sriperumbudur

19 papers · 2008–2025 · 2 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion (3) πŸ”¬ Deep Specialist (10) πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (59)

Conferences

JMLR (10) NIPS (9)

Top co-authors

Kenji Fukumizu (9) Arthur Gretton (7) Bernhard SchΓΆlkopf (4) Gert R. Lanckriet (3) Gert R.G. Lanckriet (2) Zoltan Szabo (2) Philipp Thomann (1) Siddharth Vishwanath (1) Aratrika Mustafi (1) Massimiliano Pontil (1)

Research topics

Statistics (1) Probability (1)

Keywords

reproducing kernel hilbert space (11) kernel methods (10) maximum mean discrepancy (7) characteristic kernel (4) probability distribution (4) reproducing kernel (3) two-sample test (2) hypothesis testing (2) probability embeddings (2) statistical learning (2) minimax estimation (2) statistical inference (2) kernel density estimation (2) kernel embedding (2) hierarchical clustering (1) convergence analysis (1) density estimation (1) robust statistics (1) ridge regression (1) statistical learning theory (1)

Papers

(De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025
Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024
Adaptive Clustering Using Kernel Density Estimators JMLR 2023
On Distance and Kernel Measures of Conditional Dependence JMLR 2023
Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022
Robust Persistence Diagrams using Reproducing Kernels NIPS 2020
Characteristic and Universal Tensor Product Kernels JMLR 2018
Minimax Estimation of Kernel Mean Embeddings JMLR 2017
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NIPS 2016
Convergence guarantees for kernel-based quadrature rules in misspecified settings NIPS 2016
Learning Theory for Distribution Regression JMLR 2016
Optimal kernel choice for large-scale two-sample tests NIPS 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NIPS 2011
Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010
A Fast, Consistent Kernel Two-Sample Test NIPS 2009
On the Convergence of the Concave-Convex Procedure NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Characteristic Kernels on Groups and Semigroups NIPS 2008