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On the Sampling Problem for Kernel Quadrature

On the Sampling Problem for Kernel Quadrature

11 June 2017
François‐Xavier Briol
Chris J. Oates
Jon Cockayne
W. Chen
Mark Girolami
ArXivPDFHTML

Papers citing "On the Sampling Problem for Kernel Quadrature"

4 / 4 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
E. De Vito
Lorenzo Rosasco
19
3
0
22 Nov 2023
Introduction To Gaussian Process Regression In Bayesian Inverse
  Problems, With New ResultsOn Experimental Design For Weighted Error Measures
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures
T. Helin
Andrew M. Stuart
A. Teckentrup
K. Zygalakis
27
4
0
09 Feb 2023
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
34
172
0
23 Apr 2020
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
83
277
0
09 Aug 2012
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