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Bharath K. Sriperumbudur

  1. Hilbert space embeddings and metrics on probability measures
    2009/07/30 by Bharath K. Sriperumbudur, Sriperumbudur, Bharath K., Arthur Gretton +7 · 36 citations
    Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
  2. Universality, Characteristic Kernels and RKHS Embedding of Measures
    2010/03/03 by Bharath K. Sriperumbudur, Kenji Fukumizu, Sriperumbudur, Bharath K. +3 · 25 citations
    Mathematics · Engineering · Computer Science · #Statistical Methods and Inference #Control Systems and Identification #Bayesian Methods and Mixture Models
  3. Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
    2018/07/06 by Motonobu Kanagawa, Philipp Hennig, Kanagawa, Motonobu +5 · 26 citations
    Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  4. On integral probability metrics, ϕ-divergences and binary classification
    2009/01/18 by Bharath K. Sriperumbudur, Sriperumbudur, Bharath K., Kenji Fukumizu +7 · 17 citations
    Mathematics · Physics and Astronomy · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Fuzzy Systems and Optimization #Information Theory (cs.IT) #Statistical Mechanics and Entropy
  5. Density Estimation in Infinite Dimensional Exponential Families
    2013/12/12 by Bharath K. Sriperumbudur, Sriperumbudur, Bharath, Kenji Fukumizu +7 · 11 citations
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference
  6. Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity
    2022/12/25 by Zhengxin Zhang, Ziv Goldfeld, Zhang, Zhengxin +5 · 5 citations
    Environmental Science · Mathematics · #Groundwater flow and contamination studies #Markov Chains and Monte Carlo Methods #Geometric Analysis and Curvature Flows
  7. Kernel Mean Shrinkage Estimators
    2014/05/21 by Krikamol Muandet, Bharath K. Sriperumbudur, Muandet, Krikamol +7 · 2 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Gaussian Processes and Bayesian Inference
  8. Minimax Estimation of Kernel Mean Embeddings
    2016/02/13 by Ilya Tolstikhin, Tolstikhin, Ilya, Bharath K. Sriperumbudur +3 · 2 citations
    Mathematics · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Statistical Distribution Estimation and Applications
  9. Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
    2017/09/01 by Motonobu Kanagawa, Bharath K. Sriperumbudur, Kanagawa, Motonobu +3 · 3 citations
    Decision Sciences · Engineering · Mathematics · #46E22 (Secondary) #46E35 #65D05 #65D30 (Primary) #65D32 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Nuclear reactor physics and engineering #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
  10. Spectral Regularized Kernel Two-Sample Tests
    2022/12/19 by Omar Hagrass, Bharath K. Sriperumbudur, Hagrass, Omar +3 · 2 citations
    Engineering · Mathematics · #46E22 #47A52 #65J22 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Primary: 62G10 #Secondary: 65J20 #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST) #Ultrasonics and Acoustic Wave Propagation
  11. Minimax Optimal Goodness-of-Fit Testing with Kernel Stein Discrepancy
    2024/04/12 by Omar Hagrass, Bharath K. Sriperumbudur, Hagrass, Omar +3 · 2 citations
    Engineering · Computer Science · #Geophysical Methods and Applications #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques
  12. Gaussian Processes and Reproducing Kernels: Connections and Equivalences
    2025/06/20 by Motonobu Kanagawa, Kanagawa, Motonobu, Philipp Hennig +5 · 3 voices · 4 citations
    #stat.ML #cs.LG #math.NA #math.PR #math.ST
  13. Gaussian Sketching yields a J-L Lemma in RKHS
    2019/08/16 by Samory Kpotufe, Bharath K. Sriperumbudur, Kpotufe, Samory +1 · 1 citation
    Computer Science · Engineering · #Face and Expression Recognition #Blind Source Separation Techniques #Sparse and Compressive Sensing Techniques
  14. Regularized Stein Variational Gradient Flow
    2022/11/15 by Ye He, Krishnakumar Balasubramanian, He, Ye +5 · 1 citation
    Engineering · #Advanced Numerical Analysis Techniques #Analysis of PDEs (math.AP) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Numerical methods in engineering #Statistics Theory (math.ST)
  15. Approximate Kernel PCA Using Random Features: Computational vs.\n Statistical Trade-off
    2017/06/20 by Bharath K. Sriperumbudur, Nicholas Sterge, Sriperumbudur, Bharath +1 · 1 citation
    Computer Science · Engineering · #62G05 #62H25 #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
  16. Minimax Optimal Kernel Two-Sample Tests with Random Features
    2025/02/28 by Soumya Mukherjee, Mukherjee, Soumya, Bharath K. Sriperumbudur +1 · 1 voice · 2 citations
    Computer Science · Mathematics · #46E22 #47A52 (Secondary) #62G10 (Primary) 65J20 #65J22 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #cs.LG #math.ST #stat.ML
  17. (De)-regularized Maximum Mean Discrepancy Gradient Flow
    2024/09/23 by Zonghao Chen, Aratrika Mustafi, Chen, Zonghao +9 · 2 citations
    Engineering · #Advanced Numerical Analysis Techniques
  18. Two-stage Sampled Learning Theory on Distributions
    2014/02/07 by Zoltán Szabó, Arthur Gretton, Szabo, Zoltan +5 · 1 citation
    Computer Science · #46E22 #47B32 #62G08 #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #G.3 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
  19. Optimal Rates for Functional Linear Regression with General Regularization
    2024/06/14 by Naveen Gupta, Gupta, Naveen, Bharath K. Sriperumbudur +2 · 1 citation
    Engineering · #Control Systems and Identification