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

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

31 January 2023

Clément Bénard

Sébastien Da Veiga

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

13 / 13 papers shown

Title
Kernel Stein Discrepancy Descent Anna Korba Pierre-Cyril Aubin-Frankowski Szymon Majewski Pierre Ablin 61 52 0 20 May 2021
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 66 18 0 30 Mar 2021
Stein Point Markov Chain Monte Carlo W. Chen Alessandro Barp François‐Xavier Briol Jackson Gorham Mark Girolami Lester W. Mackey Chris J. Oates 81 57 0 09 May 2019
A Framework for Adaptive MCMC Targeting Multimodal Distributions E. Pompe Chris Holmes K. Latuszyñski 78 59 0 06 Dec 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 136 223 0 06 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 80 1,094 0 16 Aug 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 108 486 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 213 328 0 09 Feb 2016
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 110 225 0 09 Jun 2015
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 221 687 0 25 Jul 2012
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 106 154 0 18 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,282 0 09 Jun 2012
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 235 2,365 0 15 May 2008