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Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal
  densities?

Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities?

9 August 2018
Oren Mangoubi
Natesh S. Pillai
Aaron Smith
ArXivPDFHTML

Papers citing "Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities?"

8 / 8 papers shown
Title
Machine Learning and the Future of Bayesian Computation
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
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design,
  Case Studies
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies
N. Glatt-Holtz
Andrew J Holbrook
J. Krometis
Cecilia F. Mondaini
18
10
0
10 Sep 2022
Annealed Leap-Point Sampler for Multimodal Target Distributions
Annealed Leap-Point Sampler for Multimodal Target Distributions
Nicholas G. Tawn
M. Moores
Gareth O. Roberts
12
5
0
24 Dec 2021
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity
Jian Huang
Yuling Jiao
Lican Kang
Xu Liao
Jin Liu
Yanyan Liu
29
27
0
21 Jun 2021
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of
  Multimodal Posteriors
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
Yuling Yao
Aki Vehtari
Andrew Gelman
29
60
0
22 Jun 2020
Optimal Temperature Spacing for Regionally Weight-preserving Tempering
Optimal Temperature Spacing for Regionally Weight-preserving Tempering
Nicholas G. Tawn
Gareth O. Roberts
9
4
0
13 Oct 2018
Coupling and Convergence for Hamiltonian Monte Carlo
Coupling and Convergence for Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
Raphael Zimmer
77
136
0
01 May 2018
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
232
0
11 Jul 2016
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