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Compressible Generalized Hybrid Monte Carlo

Compressible Generalized Hybrid Monte Carlo

28 February 2014
Youhan Fang
J. Sanz-Serna
R. Skeel
ArXivPDFHTML

Papers citing "Compressible Generalized Hybrid Monte Carlo"

10 / 10 papers shown
Title
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration
Nawaf Bou-Rabee
Milo Marsden
37
12
0
20 Nov 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
38
25
0
20 Mar 2022
Lagrangian Manifold Monte Carlo on Monge Patches
Lagrangian Manifold Monte Carlo on Monge Patches
M. Hartmann
Mark Girolami
Arto Klami
18
10
0
01 Feb 2022
A Unifying and Canonical Description of Measure-Preserving Diffusions
A Unifying and Canonical Description of Measure-Preserving Diffusions
Alessandro Barp
So Takao
M. Betancourt
Alexis Arnaudon
Mark Girolami
31
17
0
06 May 2021
A general perspective on the Metropolis-Hastings kernel
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
31
24
0
29 Dec 2020
Markov chain Monte Carlo algorithms with sequential proposals
Markov chain Monte Carlo algorithms with sequential proposals
Joonha Park
Yves F. Atchadé
BDL
16
13
0
15 Jul 2019
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond
  the reversible scenario
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario
Christophe Andrieu
Samuel Livingstone
39
28
0
14 Jun 2019
Modified Hamiltonian Monte Carlo for Bayesian inference
Modified Hamiltonian Monte Carlo for Bayesian inference
Tijana Radivojević
E. Akhmatskaya
28
31
0
13 Jun 2017
Moment conditions and Bayesian nonparametrics
Moment conditions and Bayesian nonparametrics
L. Bornn
N. Shephard
R. Solgi
32
19
0
30 Jul 2015
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
39
56
0
22 Jul 2015
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