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Kernel Stein Discrepancy thinning: a theoretical perspective of
  pathologies and a practical fix with regularization

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

31 January 2023
Clément Bénard
B. Staber
Sébastien Da Veiga
ArXivPDFHTML

Papers citing "Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization"

4 / 4 papers shown
Title
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized
  Stein Discrepancy
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Xingtu Liu
Andrew B. Duncan
Axel Gandy
35
7
0
28 Apr 2023
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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