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Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes

10 December 2019

Papers citing "Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes"

24 / 24 papers shown

Title
Enhancing Gradient-based Discrete Sampling via Parallel Tempering Luxu Liang Yuhang Jia Feng Zhou 132 0 0 26 Feb 2025
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics Lorenzo Mauri Giacomo Zanella 81 3 0 14 May 2024
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs Moritz Schauer Marcel Wienöbst CML 90 2 0 09 Oct 2023
Importance is Important: A Guide to Informed Importance Tempering Methods Guanxun Li Aaron Smith Quan Zhou 72 2 0 13 Apr 2023
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation Yue Xiang Dongyao Zhu Bowen Lei Dongkuan Xu Ruqi Zhang 61 6 0 27 Feb 2023
Improving multiple-try Metropolis with local balancing Philippe Gagnon Florian Maire Giacomo Zanella 78 11 0 21 Nov 2022
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa Arthur Gretton 96 9 0 19 Oct 2022
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces Haoran Sun H. Dai Dale Schuurmans 83 13 0 16 Sep 2022
Improved Estimation of Relaxation Time in Non-reversible Markov Chains Geoffrey Wolfer A. Kontorovich 108 8 0 01 Sep 2022
Sampling algorithms in statistical physics: a guide for statistics and machine learning Michael F Faulkner Samuel Livingstone 46 7 0 09 Aug 2022
Discrete Langevin Sampler via Wasserstein Gradient Flow Haoran Sun H. Dai Bo Dai Haomin Zhou Dale Schuurmans BDL 90 24 0 29 Jun 2022
A Langevin-like Sampler for Discrete Distributions Ruqi Zhang Xingchao Liu Qiang Liu BDL 61 42 0 20 Jun 2022
HMC and underdamped Langevin united in the unadjusted convex smooth case Nicolai Gouraud Pierre Le Bris Adrien Majka Pierre Monmarché 72 12 0 02 Feb 2022
Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms Jure Vogrinc Samuel Livingstone Giacomo Zanella 47 11 0 04 Jan 2022
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection Xitong Liang Samuel Livingstone Jim Griffin BDL 58 10 0 22 Oct 2021
Rapid Convergence of Informed Importance Tempering Quan Zhou Aaron Smith 53 10 0 22 Jul 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC P. Jaini Didrik Nielsen Max Welling BDL 90 10 0 04 Feb 2021
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models Jacob Vorstrup Goldman Sumeetpal S. Singh 40 4 0 08 Jan 2021
A fresh take on 'Barker dynamics' for MCMC Max Hird Samuel Livingstone Giacomo Zanella 90 9 0 17 Dec 2020
Reversible Jump PDMP Samplers for Variable Selection Augustin Chevallier Paul Fearnhead Matthew Sutton 57 18 0 22 Oct 2020
Analysis of Stochastic Gradient Descent in Continuous Time J. Latz 78 40 0 15 Apr 2020
An asymptotic Peskun ordering and its application to lifted samplers Philippe Gagnon Florian Maire 28 8 0 11 Mar 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 72 27 0 25 Jan 2020
The Barker proposal: combining robustness and efficiency in gradient-based MCMC Samuel Livingstone Giacomo Zanella 76 50 0 30 Aug 2019