Understanding and Accelerating Particle-Based Variational Inference

Understanding and Accelerating Particle-Based Variational Inference

4 July 2018

Jun Zhu

Lawrence Carin

Papers citing "Understanding and Accelerating Particle-Based Variational Inference"

9 / 9 papers shown

Title
Stein Variational Gradient Descent with Multiple Kernel Qingzhong Ai Shiyu Liu Lirong He Zenglin Xu 27 4 0 20 Jul 2021
Information Newton's flow: second-order optimization method in probability space Yifei Wang Wuchen Li 39 31 0 13 Jan 2020
Straight-Through Estimator as Projected Wasserstein Gradient Flow Pengyu Cheng YooJung Choi Yitao Liang Dinghan Shen Ricardo Henao Guy Van den Broeck 29 14 0 05 Oct 2019
Accelerated Information Gradient flow Yifei Wang Wuchen Li 25 56 0 04 Sep 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space Chang-Shu Liu Jingwei Zhuo Jun Zhu 25 22 0 01 Feb 2019
Accelerated Flow for Probability Distributions Amirhossein Taghvaei P. Mehta 47 31 0 10 Jan 2019
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 40 159 0 21 Oct 2016
MCMC using Hamiltonian dynamics Radford M. Neal 192 3,268 0 09 Jun 2012