Bharath K. Sriperumbudur
19 papers · 2008–2025 · 2 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(10)
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(5)
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(104)
📈
Trend Setter
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(18)
Mathematics & Optimization
(17)
Core Methods
(16)
Mathematics
(15)
Optimization & Theory
(14)
Optimization
(5)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types
(1)
Probability
(1)
Statistics
(1)
Keywords
reproducing kernel hilbert space
(12)
kernel methods
(11)
maximum mean discrepancy
(7)
hypothesis testing
(4)
characteristic kernel
(4)
probability distribution
(4)
kernel embedding
(3)
reproducing kernel
(3)
two-sample test
(2)
probability embeddings
(2)
statistical learning
(2)
minimax estimation
(2)
statistical inference
(2)
kernel density estimation
(2)
kernel mean embedding
(2)
hierarchical clustering
(1)
convergence analysis
(1)
density estimation
(1)
robust statistics
(1)
ridge regression
(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
NeurIPS 2020
Characteristic and Universal Tensor Product Kernels
JMLR 2018
Minimax Estimation of Kernel Mean Embeddings
JMLR 2017
Convergence guarantees for kernel-based quadrature rules in misspecified settings
NeurIPS 2016
Learning Theory for Distribution Regression
JMLR 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
NeurIPS 2016
Optimal kernel choice for large-scale two-sample tests
NeurIPS 2012
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
NeurIPS 2011
Universality, Characteristic Kernels and RKHS Embedding of Measures
JMLR 2011
Hilbert Space Embeddings and Metrics on Probability Measures
JMLR 2010
A Fast, Consistent Kernel Two-Sample Test
NeurIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
NeurIPS 2009
On the Convergence of the Concave-Convex Procedure
NeurIPS 2009
Characteristic Kernels on Groups and Semigroups
NeurIPS 2008