A Note on the Convergence of Mirrored Stein Variational Gradient Descent
under $(L_0,L_1)-$Smoothness Condition

A Note on the Convergence of Mirrored Stein Variational Gradient Descent under $(L_0,L_1)-$ Smoothness Condition

20 June 2022

Peter Richtárik

Papers citing "A Note on the Convergence of Mirrored Stein Variational Gradient Descent under $(L_0,L_1)-$Smoothness Condition"

16 / 16 papers shown

Title
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 68 19 0 01 Jun 2022
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 85 19 0 23 Jun 2021
Efficient constrained sampling via the mirror-Langevin algorithm Kwangjun Ahn Sinho Chewi 78 56 0 30 Oct 2020
Stochastic Stein Discrepancies Jackson Gorham Anant Raj Lester W. Mackey 56 37 0 06 Jul 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba Adil Salim Michael Arbel Giulia Luise Arthur Gretton 61 78 0 17 Jun 2020
Wasserstein Control of Mirror Langevin Monte Carlo Kelvin Shuangjian Zhang Gabriel Peyré M. Fadili Marcelo Pereyra 54 66 0 11 Feb 2020
Stein Variational Gradient Descent With Matrix-Valued Kernels Dilin Wang Ziyang Tang Minh Nguyen Qiang Liu 75 62 0 28 Oct 2019
Why gradient clipping accelerates training: A theoretical justification for adaptivity J.N. Zhang Tianxing He S. Sra Ali Jadbabaie 76 460 0 28 May 2019
A stochastic version of Stein Variational Gradient Descent for efficient sampling Lei Li Yingzhou Li Jian‐Guo Liu Zibu Liu Jianfeng Lu 45 35 0 09 Feb 2019
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 113 117 0 08 Jun 2018
Scaling limit of the Stein variational gradient descent: the mean field regime Jianfeng Lu Yulong Lu J. Nolen 47 80 0 10 May 2018
Mirrored Langevin Dynamics Ya-Ping Hsieh Ali Kavis Paul Rolland Volkan Cevher 76 85 0 27 Feb 2018
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 74 276 0 25 Apr 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 118 223 0 06 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 70 1,092 0 16 Aug 2016
Moments and Absolute Moments of the Normal Distribution Andreas Winkelbauer 82 193 0 19 Sep 2012