Augmented Message Passing Stein Variational Gradient Descent

18 May 2023

Papers citing "Augmented Message Passing Stein Variational Gradient Descent"

12 / 12 papers shown

Title
Protein structure generation via folding diffusion Kevin E. Wu Kevin Kaichuang Yang Rianne van den Berg James Zou Alex X. Lu Ava P. Amini DiffM 72 200 0 30 Sep 2022
Grassmann Stein Variational Gradient Descent Xingtu Liu Harrison Zhu Jean-François Ton George Wynne Andrew Duncan 66 12 0 07 Feb 2022
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1 Adil Salim Lukang Sun Peter Richtárik 49 20 0 06 Jun 2021
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 51 37 0 30 Jun 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence Sinho Chewi Thibaut Le Gouic Chen Lu Tyler Maunu Philippe Rigollet 81 69 0 03 Jun 2020
Projected Stein Variational Gradient Descent Peng Chen Omar Ghattas BDL 78 70 0 09 Feb 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 277 501 0 11 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 90 117 0 08 Jun 2018
Message Passing Stein Variational Gradient Descent Jingwei Zhuo Chang-rui Liu Jiaxin Shi Jun Zhu Ning Chen Bo Zhang 54 92 0 13 Nov 2017
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 66 275 0 25 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