Bharath Kumar Sriperumbudur

    • 1406 Citations
    • 16 h-Index
    20022019
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    Fingerprint Dive into the research topics where Bharath Kumar Sriperumbudur is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    Hilbert spaces Engineering & Materials Science
    Reproducing Kernel Hilbert Space Mathematics
    kernel Mathematics
    Probability distributions Engineering & Materials Science
    Statistics Engineering & Materials Science
    Learning systems Engineering & Materials Science
    Probability Metrics Mathematics
    Probability Measure Mathematics

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    Research Output 2002 2019

    2 Citations (Scopus)

    Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings

    Kanagawa, M., Sriperumbudur, B. K. & Fukumizu, K., Jan 1 2019, (Accepted/In press) In : Foundations of Computational Mathematics.

    Research output: Contribution to journalArticle

    Quadrature Rules
    Convergence Analysis
    Quadrature
    Sobolev spaces
    Integrand

    Characteristic and universal tensor product kernels

    Szabó, Z. & Sriperumbudur, B. K., Jan 1 2018, In : Journal of Machine Learning Research. 18, p. 1-29 29 p.

    Research output: Contribution to journalArticle

    Tensor Product
    Tensors
    Statistics
    kernel
    Hilbert

    Optimal prediction for additive function-on-function regression

    Reimherr, M. L., Sriperumbudur, B. K. & Taoufik, B., Jan 1 2018, In : Electronic Journal of Statistics. 12, 2, p. 4571-4601 31 p.

    Research output: Contribution to journalArticle

    Open Access
    Optimal Prediction
    Functional Data
    Additive Function
    Regression Function
    Nonlinear Model

    Density estimation in infinite dimensional exponential families

    Sriperumbudur, B. K., Fukumizu, K., Gretton, A., Hyvärinen, A. & Kumar, R., Jul 1 2017, In : Journal of Machine Learning Research. 18

    Research output: Contribution to journalArticle

    Maximum likelihood estimation
    Exponential Family
    Density Estimation
    Estimator
    Sieves
    34 Citations (Scopus)

    Kernel mean embedding of distributions: A review and beyond

    Muandet, K., Fukumizu, K., Sriperumbudur, B. K. & Schölkopf, B., Jan 1 2017, In : Foundations and Trends in Machine Learning. 10, 1-2, p. 1-141 141 p.

    Research output: Contribution to journalReview article

    Hilbert spaces
    Arsenals
    Reinforcement learning
    Testing
    Support vector machines