Accelerating Metropolis-Hastings with Lightweight Inference Compilation

Accelerating Metropolis-Hastings with Lightweight Inference Compilation

23 October 2020

Feynman T. Liang

Michael Tingley

Papers citing "Accelerating Metropolis-Hastings with Lightweight Inference Compilation"

10 / 10 papers shown

Title
Attention for Inference Compilation William Harvey Andreas Munk A. G. Baydin Alexander Bergholm Frank Wood 42 9 0 25 Oct 2019
$Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC$ Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC Aki Vehtari Andrew Gelman Daniel P. Simpson Bob Carpenter Paul-Christian Bürkner 37 926 0 19 Mar 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 144 1,050 0 18 Oct 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 167 690 0 15 Nov 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 193 1,351 0 19 May 2017
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching Daniel E. Ritchie Andreas Stuhlmuller Noah D. Goodman 38 30 0 07 Sep 2015
A New Approach to Probabilistic Programming Inference Frank Wood Jan-Willem van de Meent Vikash K. Mansinghka 59 346 0 03 Jul 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 199 4,872 0 21 Dec 2013
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
Elliptical slice sampling Iain Murray Ryan P. Adams D. MacKay 124 465 0 31 Dec 2009