Interpolating between sampling and variational inference with infinite
stochastic mixtures

Interpolating between sampling and variational inference with infinite stochastic mixtures

18 October 2021

Richard D. Lange

Ari S. Benjamin

Ralf M. Haefner

Xaq Pitkow

Papers citing "Interpolating between sampling and variational inference with infinite stochastic mixtures"

14 / 14 papers shown

Title
Pathfinder: Parallel quasi-Newton variational inference Lu Zhang Bob Carpenter A. Gelman Aki Vehtari 70 40 0 09 Aug 2021
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 53 42 0 15 Jun 2020
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 69 128 0 28 May 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 175 690 0 15 Nov 2017
Variational Inference with Hamiltonian Monte Carlo Christopher Wolf Maximilian Karl Patrick van der Smagt BDL 53 36 0 26 Sep 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 88 87 0 16 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 256 4,787 0 04 Jan 2016
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 64 412 0 17 Jul 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 274 6,925 0 12 Mar 2015
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget Anoop Korattikara Yutian Chen Max Welling 73 244 0 19 Apr 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 252 2,621 0 29 Jun 2012
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 104 153 0 18 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,280 0 09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 162 4,297 0 18 Nov 2011

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