Bharath Sriperumbudur
15 papers · 2010–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(76)
Venues
Top co-authors
Research topics
Keywords
kernel methods
(8)
reproducing kernel hilbert space
(7)
shrinkage estimator
(3)
kernel principal component analysis
(2)
kernel mean
(2)
statistical learning theory
(2)
hilbert space embedding
(2)
kernel mean estimation
(2)
stein phenomenon
(2)
dimensionality reduction
(2)
random fourier feature
(2)
kernel approximation
(1)
computational efficiency
(1)
feature representation
(1)
theoretical analysis
(1)
principal component analysis
(1)
metric learning
(1)
ridge regression
(1)
nonparametric estimation
(1)
optimal transport
(1)
Papers
Nyström Kernel Stein Discrepancy
AISTATS 2025
Cycle Consistent Probability Divergences Across Different Spaces
AISTATS 2022
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling
AISTATS 2020
Gaussian Sketching yields a J-L Lemma in RKHS
AISTATS 2020
On Kernel Derivative Approximation with Random Fourier Features
AISTATS 2019
Density Estimation in Infinite Dimensional Exponential Families
JMLR 2017
Kernel Mean Shrinkage Estimators
JMLR 2016
Optimal Rates for Random Fourier Features
NeurIPS 2015
Two-stage sampled learning theory on distributions
AISTATS 2015
Kernel Mean Estimation and Stein Effect
ICML 2014
Kernel Mean Estimation via Spectral Filtering
NeurIPS 2014
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
ICML 2013
Ultrahigh Dimensional Feature Screening via RKHS Embeddings
AISTATS 2013
Consistency and Rates for Clustering with DBSCAN
AISTATS 2012
On the relation between universality, characteristic kernels and RKHS embedding of measures
AISTATS 2010