Informed proposals for local MCMC in discrete spaces

20 November 2017

Papers citing "Informed proposals for local MCMC in discrete spaces"

18 / 18 papers shown

Title
Entropy-Guided Sampling of Flat Modes in Discrete Spaces Pinaki Mohanty Riddhiman Bhattacharya Ruqi Zhang 131 0 0 05 May 2025
Regularized Langevin Dynamics for Combinatorial Optimization Shengyu Feng Yiming Yang 71 0 0 01 Feb 2025
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 44 9 0 30 Jul 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics Lorenzo Mauri Giacomo Zanella 30 3 0 14 May 2024
Principled Gradient-based Markov Chain Monte Carlo for Text Generation Li Du Afra Amini Lucas Torroba Hennigen Xinyan Velocity Yu Jason Eisner Holden Lee Ryan Cotterell BDL 23 1 0 29 Dec 2023
Generative Filtering for Recursive Bayesian Inference with Streaming Data Ian Taylor Andee Kaplan Brenda Betancourt 11 0 0 25 Sep 2023
Improving multiple-try Metropolis with local balancing Philippe Gagnon Florian Maire Giacomo Zanella 31 9 0 21 Nov 2022
Transport Reversible Jump Proposals L. Davies Roberto Salomone Matthew Sutton Christopher C. Drovandi BDL 24 1 0 22 Oct 2022
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa A. Gretton 21 9 0 19 Oct 2022
Enhanced gradient-based MCMC in discrete spaces Benjamin Rhodes Michael U. Gutmann 24 15 0 29 Jul 2022
Discrete Langevin Sampler via Wasserstein Gradient Flow Haoran Sun H. Dai Bo Dai Haomin Zhou Dale Schuurmans BDL 39 19 0 29 Jun 2022
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC P. Jaini Didrik Nielsen Max Welling BDL 35 10 0 04 Feb 2021
Metropolis-Hastings with Averaged Acceptance Ratios Christophe Andrieu Sinan Yildiri Arnaud Doucet Nicolas Chopin 21 6 0 29 Dec 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 32 27 0 25 Jan 2020
d-blink: Distributed End-to-End Bayesian Entity Resolution Neil G. Marchant Andee Kaplan Daniel N. Elazar Benjamin I. P. Rubinstein R. Steorts 15 22 0 13 Sep 2019
Estimating Convergence of Markov chains with L-Lag Couplings N. Biswas Pierre E. Jacob Paul Vanetti 17 47 0 23 May 2019
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication R. Steorts Rob Hall S. Fienberg CML 36 147 0 02 Mar 2014
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012