Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale

10 October 2018

Papers citing "Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale"

5 / 5 papers shown

Title
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces Elsayed M. Eshra Konstantinos G. Papakonstantinou Hamed Nikbakht 23 0 0 23 May 2024
The Apogee to Apogee Path Sampler Chris Sherlock S. Urbas Matthew Ludkin 19 6 0 15 Dec 2021
Focusing on Difficult Directions for Learning HMC Trajectory Lengths Pavel Sountsov Matt Hoffman 10 9 0 22 Oct 2021
Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions Chirag Modi A. Barnett Bob Carpenter 33 14 0 01 Oct 2021
MCMC using Hamiltonian dynamics Radford M. Neal 176 3,260 0 09 Jun 2012