Bharath K. Sriperumbudur
19 papers · 2008–2025 · 2 conferences · across top CS/AI conferences
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JMLR (10)
NIPS (9)
Top co-authors
Research topics
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