Stein Variational Gradient Descent as Gradient Flow

25 April 2017

Papers citing "Stein Variational Gradient Descent as Gradient Flow"

14 / 14 papers shown

Title
Nonparametric Teaching for Graph Property Learners Chen Zhang Weixin Bu Zhaochun Ren Ziyue Liu Yik-Chung Wu Ngai Wong 93 0 0 20 May 2025
Accelerated Stein Variational Gradient Flow Viktor Stein Wuchen Li 91 0 0 30 Mar 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 81 1 0 30 Oct 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 96 3 0 16 Jan 2024
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 89 15 0 26 Sep 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 69 2 0 21 Nov 2021
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 46 28 0 18 Apr 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 116 223 0 06 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 63 1,091 0 16 Aug 2016
Convergence Rates for a Class of Estimators Based on Stein's Method Chris J. Oates Jon Cockayne F. Briol Mark Girolami 48 57 0 10 Mar 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 98 483 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 170 328 0 09 Feb 2016
Provable Bayesian Inference via Particle Mirror Descent Bo Dai Niao He H. Dai Le Song 103 73 0 09 Jun 2015
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 134 337 0 15 Mar 2012