← Authors

Bharath Sriperumbudur

15 papers · 2010–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (15) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (3) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (71) πŸ’Ž Century Club (15) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

AISTATS (9) ICML (2) JMLR (2) NIPS (2)

Top co-authors

Kenji Fukumizu (4) Arthur Gretton (4) Zoltan Szabo (4) Krikamol Muandet (3) Bernhard SchΓΆlkopf (2) Youssef Mroueh (1) Ziv Goldfeld (1) Lorenzo Rosasco (1) Ingo Steinwart (1) Krishnakumar Balasubramanian (1)

Research topics

Statistics (1) Probability (1)

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

NystrΓΆm 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 NystrΓΆm 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