Stein Self-Repulsive Dynamics: Benefits From Past Samples

21 February 2020

Papers citing "Stein Self-Repulsive Dynamics: Benefits From Past Samples"

9 / 9 papers shown

Title
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions Wei Deng Guang Lin F. Liang BDL 50 27 0 19 Oct 2020
Stein Variational Gradient Descent With Matrix-Valued Kernels Dilin Wang Ziyang Tang Minh Nguyen Qiang Liu 68 62 0 28 Oct 2019
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen Ruiyi Zhang Wenlin Wang Bai Li Liqun Chen 47 88 0 29 May 2018
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 60 274 0 25 Apr 2017
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 46 28 0 18 Apr 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 53 138 0 07 Apr 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 62 1,329 0 27 Feb 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 67 518 0 13 Feb 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 61 1,082 0 16 Aug 2016