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Sacred and Profane: from the Involutive Theory of MCMC to Helpful
  Hamiltonian Hacks
v1v2 (latest)

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks

22 October 2024
N. Glatt-Holtz
Andrew J. Holbrook
J. Krometis
Cecilia F. Mondaini
Ami D. Sheth
ArXiv (abs)PDFHTML

Papers citing "Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks"

15 / 15 papers shown
Title
Sparse Bayesian multidimensional scaling(s)
Sparse Bayesian multidimensional scaling(s)
Ami D. Sheth
Aaron Smith
Andrew J. Holbrook
24
1
0
21 Jun 2024
On the surprising effectiveness of a simple matrix exponential
  derivative approximation, with application to global SARS-CoV-2
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
39
4
0
28 Jun 2023
Random-effects substitution models for phylogenetics via scalable
  gradient approximations
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
31
5
0
23 Mar 2023
A Statistical Framework for Domain Shape Estimation in Stokes Flows
A Statistical Framework for Domain Shape Estimation in Stokes Flows
J. Borggaard
N. Glatt-Holtz
J. Krometis
53
2
0
06 Dec 2022
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
59
12
0
10 Sep 2022
A general perspective on the Metropolis-Hastings kernel
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
81
25
0
29 Dec 2020
Involutive MCMC: a Unifying Framework
Involutive MCMC: a Unifying Framework
Kirill Neklyudov
Max Welling
Evgenii Egorov
Dmitry Vetrov
89
38
0
30 Jun 2020
A multiple-try Metropolis-Hastings algorithm with tailored proposals
A multiple-try Metropolis-Hastings algorithm with tailored proposals
Xin Luo
H. Tjelmeland
39
9
0
05 Jul 2018
Geometric integrators and the Hamiltonian Monte Carlo method
Geometric integrators and the Hamiltonian Monte Carlo method
Nawaf Bou-Rabee
J. Sanz-Serna
62
98
0
14 Nov 2017
Geometric MCMC for Infinite-Dimensional Inverse Problems
Geometric MCMC for Infinite-Dimensional Inverse Problems
A. Beskos
Mark Girolami
Shiwei Lan
P. Farrell
Andrew M. Stuart
64
144
0
20 Jun 2016
On the Geometric Ergodicity of Hamiltonian Monte Carlo
On the Geometric Ergodicity of Hamiltonian Monte Carlo
Samuel Livingstone
M. Betancourt
Simon Byrne
Mark Girolami
115
116
0
29 Jan 2016
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for
  Bayesian Inverse Problems
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems
Shiwei Lan
T. Bui-Thanh
M. Christie
Mark Girolami
77
58
0
22 Jul 2015
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on
  Regularity in Parameter Space
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space
Cheng Zhang
Babak Shahbaba
Hongkai Zhao
46
15
0
06 Apr 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
298
3,282
0
09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
189
4,315
0
18 Nov 2011
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