The reproducing Stein kernel approach for post-hoc corrected sampling

25 January 2020

Papers citing "The reproducing Stein kernel approach for post-hoc corrected sampling"

9 / 9 papers shown

Title
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa A. Gretton 21 9 0 19 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 42 14 0 26 Sep 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 28 25 0 20 Mar 2022
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 28 2 0 13 Sep 2021
Kernel Stein Discrepancy Descent Anna Korba Pierre-Cyril Aubin-Frankowski Szymon Majewski Pierre Ablin 13 50 0 20 May 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates G. Reinert Yvik Swan 22 35 0 07 May 2021
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 104 324 0 09 Feb 2016