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Metropolis Adjusted Langevin Trajectories: a robust alternative to
  Hamiltonian Monte Carlo

Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo

26 February 2022
L. Riou-Durand
Jure Vogrinc
ArXivPDFHTML

Papers citing "Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo"

13 / 13 papers shown
Title
A Langevin sampling algorithm inspired by the Adam optimizer
A Langevin sampling algorithm inspired by the Adam optimizer
B. Leimkuhler
René Lohmann
P. Whalley
79
0
0
26 Apr 2025
Sampling parameters of ordinary differential equations with Langevin
  dynamics that satisfy constraints
Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints
Chris Chi
J. Weare
Aaron R Dinner
23
2
0
28 Aug 2024
Single-seed generation of Brownian paths and integrals for adaptive and
  high order SDE solvers
Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers
Andravz Jelinvcivc
James Foster
Patrick Kidger
19
2
0
10 May 2024
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin
  Integrators
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
B. Leimkuhler
Daniel Paulin
P. Whalley
23
5
0
14 Jun 2023
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo
Jakob Robnik
U. Seljak
43
6
0
31 Mar 2023
Contraction and Convergence Rates for Discretized Kinetic Langevin
  Dynamics
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
B. Leimkuhler
Daniel Paulin
P. Whalley
32
16
0
21 Feb 2023
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
L. Riou-Durand
Pavel Sountsov
Jure Vogrinc
C. Margossian
Samuel Power
30
6
0
21 Oct 2022
On the Dissipation of Ideal Hamiltonian Monte Carlo Sampler
On the Dissipation of Ideal Hamiltonian Monte Carlo Sampler
Qijia Jiang
27
7
0
15 Sep 2022
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
Jun-Kun Wang
Andre Wibisono
27
9
0
05 Jul 2022
Randomized Time Riemannian Manifold Hamiltonian Monte Carlo
Randomized Time Riemannian Manifold Hamiltonian Monte Carlo
P. Whalley
Daniel Paulin
B. Leimkuhler
6
4
0
09 Jun 2022
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
58
29
0
03 May 2021
Wasserstein distance estimates for the distributions of numerical
  approximations to ergodic stochastic differential equations
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
J. Sanz-Serna
K. Zygalakis
27
22
0
26 Apr 2021
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
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