602 citations · 2k across the 59 of their papers we have counts for
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Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
Motonobu Kanagawa, Bharath K. Sriperumbudur, Kenji Fukumizu
This paper presents a convergence analysis of kernel-based quadrature rules in misspecified settings, focusing on deterministic quadrature in Sobolev spaces. In particular, we deal…
Characteristic and Universal Tensor Product Kernels
Zoltan Szabo, Bharath K. Sriperumbudur
Maximum mean discrepancy (MMD), also called energy distance or N-distance in statistics and Hilbert-Schmidt independence criterion (HSIC), specifically distance covariance in stati…
Adaptive Clustering Using Kernel Density Estimators
Ingo Steinwart, Bharath K. Sriperumbudur, Philipp Thomann
We derive and analyze a generic, recursive algorithm for estimating all splits in a finite cluster tree as well as the corresponding clusters. We further investigate statistical pr…
Optimal Prediction for Additive Function-on-Function Regression
Matthew Reimherr, Bharath Sriperumbudur, Bahaeddine Taoufik
As with classic statistics, functional regression models are invaluable in the analysis of functional data. While there are now extensive tools with accompanying theory available f…
Approximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off
Bharath Sriperumbudur, Nicholas Sterge
Kernel methods are powerful learning methodologies that allow to perform non-linear data analysis. Despite their popularity, they suffer from poor scalability in big data scenarios…