Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions

9 November 2013

Papers citing "Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions"

15 / 15 papers shown

Title
Numerical Generalized Randomized Hamiltonian Monte Carlo for piecewise smooth target densities Jimmy Huy Tran T. S. Kleppe BDL 45 0 0 25 Apr 2025
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 20 1 0 29 Dec 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 33 4 0 21 Apr 2023
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
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 10 0 08 Nov 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC P. Jaini Didrik Nielsen Max Welling BDL 35 10 0 04 Feb 2021
Conditional independence by typing Maria I. Gorinova Andrew D. Gordon Charles Sutton Matthijs Vákár 19 14 0 22 Oct 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 39 47 0 24 Aug 2020
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables Guangyao Zhou 14 19 0 11 Sep 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models Yuanshuo Zhou Bradley Gram-Hansen Tobias Kohn Tom Rainforth Hongseok Yang Frank D. Wood 23 24 0 06 Mar 2019
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 12 31 0 13 Jun 2017
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Yizhe Zhang Xiangyu Wang Changyou Chen Ricardo Henao Kai Fan Lawrence Carin 19 21 0 25 Feb 2016
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior Yutian Chen Max Welling 38 11 0 09 Aug 2014
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012