DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework

2 December 2021

Chao Zhang

Papers citing "DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework"

22 / 22 papers shown

Title
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 125 2 0 25 Oct 2023
Kernel Stein Discrepancy Descent Anna Korba Pierre-Cyril Aubin-Frankowski Szymon Majewski Pierre Ablin 66 52 0 20 May 2021
Unbalanced Sobolev Descent Youssef Mroueh Mattia Rigotti 38 17 0 29 Sep 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba Adil Salim Michael Arbel Giulia Luise Arthur Gretton 70 78 0 17 Jun 2020
Accelerated Information Gradient flow Yifei Wang Wuchen Li 84 57 0 04 Sep 2019
Accelerating Langevin Sampling with Birth-death Yulong Lu Jianfeng Lu J. Nolen 95 55 0 23 May 2019
Global convergence of neuron birth-death dynamics Grant M. Rotskoff Samy Jelassi Joan Bruna Eric Vanden-Eijnden 51 46 0 05 Feb 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space Chang-Shu Liu Jingwei Zhuo Jun Zhu 92 22 0 01 Feb 2019
Variance Reduction in Stochastic Particle-Optimization Sampling Jianyi Zhang Yang Zhao Changyou Chen OT 58 13 0 20 Nov 2018
Stein Variational Gradient Descent as Moment Matching Qiang Liu Dilin Wang 94 38 0 27 Oct 2018
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen 97 46 0 05 Sep 2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen Ruiyi Zhang Wenlin Wang Bai Li Liqun Chen 64 89 0 29 May 2018
Stein Points W. Chen Lester W. Mackey Jackson Gorham François‐Xavier Briol Chris J. Oates 86 102 0 27 Mar 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem Andre Wibisono 113 183 0 22 Feb 2018
Riemannian Stein Variational Gradient Descent for Bayesian Inference Chang-rui Liu Jun Zhu 59 67 0 30 Nov 2017
Particle Optimization in Stochastic Gradient MCMC Changyou Chen Ruiyi Zhang 46 10 0 29 Nov 2017
Message Passing Stein Variational Gradient Descent Jingwei Zhuo Chang-rui Liu Jiaxin Shi Jun Zhu Ning Chen Bo Zhang 65 92 0 13 Nov 2017
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 108 277 0 25 Apr 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 90 1,094 0 16 Aug 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 113 486 0 10 Feb 2016
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 80 490 0 15 Jun 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 150 1,167 0 31 Dec 2013