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On the convergence of Hamiltonian Monte Carlo

On the convergence of Hamiltonian Monte Carlo

29 April 2017
Alain Durmus
Eric Moulines
E. Saksman
ArXivPDFHTML

Papers citing "On the convergence of Hamiltonian Monte Carlo"

12 / 12 papers shown
Title
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
Jun-Kun Wang
Andre Wibisono
30
9
0
05 Jul 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
33
25
0
20 Mar 2022
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
Soumyadip Ghosh
Ying-Ling Lu
Aditya Gopalan
25
3
0
21 Oct 2021
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian
  Monte Carlo
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo
Vyacheslav Kungurtsev
Adam D. Cobb
T. Javidi
Brian Jalaian
51
4
0
15 Jul 2021
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
24
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
Geometry-Aware Hamiltonian Variational Auto-Encoder
Geometry-Aware Hamiltonian Variational Auto-Encoder
Clément Chadebec
Clément Mantoux
S. Allassonnière
DRL
22
15
0
22 Oct 2020
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Oren Mangoubi
Nisheeth K. Vishnoi
29
53
0
24 Feb 2018
Sampling as optimization in the space of measures: The Langevin dynamics
  as a composite optimization problem
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Andre Wibisono
29
178
0
22 Feb 2018
Unbiased Hamiltonian Monte Carlo with couplings
Unbiased Hamiltonian Monte Carlo with couplings
J. Heng
Pierre E. Jacob
20
63
0
01 Sep 2017
Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave
  Distributions
Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions
Oren Mangoubi
Aaron Smith
32
106
0
23 Aug 2017
On the Geometric Ergodicity of Hamiltonian Monte Carlo
On the Geometric Ergodicity of Hamiltonian Monte Carlo
Samuel Livingstone
M. Betancourt
Simon Byrne
Mark Girolami
42
116
0
29 Jan 2016
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