Stochastic mirror descent for nonparametric adaptive importance sampling

20 September 2024

Papers citing "Stochastic mirror descent for nonparametric adaptive importance sampling"

9 / 9 papers shown

Title
A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba Adil Salim Michael Arbel Giulia Luise Arthur Gretton 59 78 0 17 Jun 2020
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 63 1,091 0 16 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 227 4,778 0 04 Jan 2016
Provable Bayesian Inference via Particle Mirror Descent Bo Dai Niao He H. Dai Le Song 103 73 0 09 Jun 2015
Kernel Adaptive Metropolis-Hastings Dino Sejdinovic Heiko Strathmann M. Garcia Christophe Andrieu Arthur Gretton 67 46 0 19 Jul 2013
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models E. Koblents Joaquín Míguez 59 77 0 28 Aug 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 232 2,619 0 29 Jun 2012
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 104 153 0 18 Jun 2012
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems T. Bengtsson Peter J. Bickel Bo Li 103 421 0 20 May 2008