Bharath Sriperumbudur
15 papers · 2010–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🏃 Academic Marathon (15)
🧭
Keyword Pioneer
🌉
Interdisciplinary Bridge
🏆
Keyword Champion
(3)
🧬
Topic Evolution
🗃️
Keyword Collector
(71)
💎
Century Club
(15)
🔥
Unstoppable
(6)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
AISTATS (9)
ICML (2)
JMLR (2)
NIPS (2)
Top co-authors
Research topics
Keywords
kernel methods
(8)
reproducing kernel hilbert space
(6)
shrinkage estimator
(3)
kernel mean estimation
(2)
statistical learning theory
(2)
stein phenomenon
(2)
random fourier feature
(2)
dimensionality reduction
(2)
kernel mean
(2)
hilbert space embedding
(2)
kernel approximation
(1)
computational efficiency
(1)
theoretical analysis
(1)
feature representation
(1)
principal component analysis
(1)
metric learning
(1)
ridge regression
(1)
nonparametric estimation
(1)
optimal transport
(1)
probabilistic modeling
(1)
Papers
Nyström Kernel Stein Discrepancy
AISTATS 2025
Cycle Consistent Probability Divergences Across Different Spaces
AISTATS 2022
Gaussian Sketching yields a J-L Lemma in RKHS
AISTATS 2020
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling
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
Two-stage sampled learning theory on distributions
AISTATS 2015
Optimal Rates for Random Fourier Features
NIPS 2015
Kernel Mean Estimation via Spectral Filtering
NIPS 2014
Kernel Mean Estimation and Stein Effect
ICML 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