Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design,
Case Studies

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Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies

10 September 2022

Andrew J Holbrook

Cecilia F. Mondaini

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Papers citing "Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies"

17 / 17 papers shown

Title
A quantum parallel Markov chain Monte Carlo Andrew J Holbrook 52 8 0 01 Dec 2021
Generating MCMC proposals by randomly rotating the regular simplex Andrew J Holbrook 39 8 0 13 Oct 2021
A general perspective on the Metropolis-Hastings kernel Christophe Andrieu Anthony Lee Samuel Livingstone 74 25 0 29 Dec 2020
On the accept-reject mechanism for Metropolis-Hastings algorithms N. Glatt-Holtz J. Krometis Cecilia F. Mondaini 74 10 0 09 Nov 2020
Involutive MCMC: a Unifying Framework Kirill Neklyudov Max Welling Evgenii Egorov Dmitry Vetrov 70 38 0 30 Jun 2020
Mixing Rates for Hamiltonian Monte Carlo Algorithms in Finite and Infinite Dimensions N. Glatt-Holtz Cecilia F. Mondaini 163 10 0 17 Mar 2020
Massive parallelization boosts big Bayesian multidimensional scaling Andrew J Holbrook P. Lemey G. Baele S. Dellicour D. Brockmann A. Rambaut M. Suchard 43 29 0 11 May 2019
On Bayesian Consistency for Flows Observed Through a Passive Scalar J. Borggaard N. Glatt-Holtz J. Krometis 19 5 0 13 Sep 2018
Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities? Oren Mangoubi Natesh S. Pillai Aaron Smith 96 32 0 09 Aug 2018
A multiple-try Metropolis-Hastings algorithm with tailored proposals Xin Luo H. Tjelmeland 39 9 0 05 Jul 2018
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 104 352 0 28 Nov 2017
Geometric integrators and the Hamiltonian Monte Carlo method Nawaf Bou-Rabee J. Sanz-Serna 58 98 0 14 Nov 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Asynchronous Gibbs Sampling Alexander Terenin Daniel P. Simpson D. Draper 37 43 0 30 Sep 2015
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,282 0 09 Jun 2012
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster S. Cotter Gareth O. Roberts Andrew M. Stuart D. White 102 480 0 03 Feb 2012
Spectral gaps for a Metropolis-Hastings algorithm in infinite dimensions Martin Hairer Andrew M. Stuart Sebastian J. Vollmer 102 188 0 06 Dec 2011