Precomputing Strategy for Hamiltonian Monte Carlo Method Based on
Regularity in Parameter Space

v1v2 (latest)

Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space

6 April 2015

Cheng Zhang

ArXiv (abs)PDF HTML

Papers citing "Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space"

10 / 10 papers shown

Title
Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks N. Glatt-Holtz Andrew J. Holbrook J. Krometis Cecilia F. Mondaini Ami D. Sheth 63 0 0 22 Oct 2024
Scaling Up Bayesian Neural Networks with Neural Networks Zahra Moslemi Yang Meng Shiwei Lan Babak Shahbaba BDL 73 1 0 19 Dec 2023
On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2 G. Didier N. Glatt-Holtz Andrew J Holbrook Andrew F. Magee M. Suchard 57 4 0 28 Jun 2023
Random-effects substitution models for phylogenetics via scalable gradient approximations Andrew F. Magee Andrew J Holbrook J. Pekar Itzue W. Caviedes-Solis IV FredrickA.Matsen G. Baele J. Wertheim Xiang Ji P. Lemey M. Suchard 41 5 0 23 Mar 2023
On the accept-reject mechanism for Metropolis-Hastings algorithms N. Glatt-Holtz J. Krometis Cecilia F. Mondaini 93 10 0 09 Nov 2020
Deep Markov Chain Monte Carlo Babak Shahbaba L. M. Lomeli T. Chen Shiwei Lan BDL 66 8 0 13 Oct 2019
Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric Markov Chain Monte Carlo Shiwei Lan 74 10 0 15 Jul 2018
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 111 31 0 13 Jun 2017
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases Cheng Zhang Babak Shahbaba Hongkai Zhao 137 32 0 18 Jun 2015
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model M. Moores Geoff K. Nicholls A. Pettitt Kerrie Mengersen TPM 178 22 0 27 Mar 2015