Improving multiple-try Metropolis with local balancing

21 November 2022

Papers citing "Improving multiple-try Metropolis with local balancing"

9 / 9 papers shown

Title
Enhancing Gradient-based Discrete Sampling via Parallel Tempering Luxu Liang Yuhang Jia Feng Zhou 90 0 0 26 Feb 2025
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces Haoran Sun H. Dai Dale Schuurmans 54 13 0 16 Sep 2022
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies N. Glatt-Holtz Andrew J Holbrook J. Krometis Cecilia F. Mondaini 38 10 0 10 Sep 2022
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection Xitong Liang Samuel Livingstone Jim Griffin BDL 48 10 0 22 Oct 2021
Rapid Convergence of Informed Importance Tempering Quan Zhou Aaron Smith 34 10 0 22 Jul 2021
Optimal scaling of random-walk Metropolis algorithms using Bayesian large-sample asymptotics Sebastian M. Schmon Philippe Gagnon 20 17 0 13 Apr 2021
A fresh take on 'Barker dynamics' for MCMC Max Hird Samuel Livingstone Giacomo Zanella 61 9 0 17 Dec 2020
Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes Samuel Power Jacob Vorstrup Goldman 39 31 0 10 Dec 2019
Large Sample Asymptotics of the Pseudo-Marginal Method Sebastian M. Schmon George Deligiannidis Arnaud Doucet M. Pitt 46 31 0 26 Jun 2018