Stein Variational Gradient Descent Without Gradient

7 June 2018

Papers citing "Stein Variational Gradient Descent Without Gradient"

9 / 9 papers shown

Title
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 48 14 0 26 Sep 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 42 7 0 22 Sep 2022
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 27 21 0 18 Sep 2021
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning Zhaolu Dong Shan Huang Simiao Ma Yining Qian AIFin 28 1 0 03 Aug 2021
Stein Variational Gradient Descent with Multiple Kernel Qingzhong Ai Shiyu Liu Lirong He Zenglin Xu 22 4 0 20 Jul 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 Gesine Reinert Yvik Swan 22 35 0 07 May 2021
Stein Variational Gradient Descent With Matrix-Valued Kernels Dilin Wang Ziyang Tang Chandrajit L. Bajaj Qiang Liu 25 62 0 28 Oct 2019
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 107 324 0 09 Feb 2016