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Bharath Kumar Sriperumbudur

    • 1461 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

    4 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 journal › Article

    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 journal › Article

    Tensor Product
    Tensors
    Statistics
    kernel
    Hilbert

    Optimal prediction for additive function-on-function regression

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

    Research output: Contribution to journal › Article

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

    Density estimation in infinite dimensional exponential families

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

    Research output: Contribution to journal › Article

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

    Kernel mean embedding of distributions: A review and beyond

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

    Research output: Contribution to journal › Review article

    Hilbert spaces
    Arsenals
    Reinforcement learning
    Testing
    Support vector machines