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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

26 April 2021
J. Sanz-Serna
K. Zygalakis
ArXivPDFHTML

Papers citing "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations"

7 / 7 papers shown
Title
Random Reshuffling for Stochastic Gradient Langevin Dynamics
Luke Shaw
Peter A. Whalley
75
3
0
28 Jan 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Daniel Paulin
P. Whalley
Neil K. Chada
B. Leimkuhler
BDL
41
4
0
14 Oct 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
Contraction and Convergence Rates for Discretized Kinetic Langevin
  Dynamics
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
B. Leimkuhler
Daniel Paulin
P. Whalley
22
16
0
21 Feb 2023
Nesterov smoothing for sampling without smoothness
Nesterov smoothing for sampling without smoothness
JiaoJiao Fan
Bo Yuan
Jiaming Liang
Yongxin Chen
32
2
0
15 Aug 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to
  Hamiltonian Monte Carlo
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo
L. Riou-Durand
Jure Vogrinc
13
14
0
26 Feb 2022
HMC and underdamped Langevin united in the unadjusted convex smooth case
HMC and underdamped Langevin united in the unadjusted convex smooth case
Nicolai Gouraud
Pierre Le Bris
Adrien Majka
Pierre Monmarché
11
10
0
02 Feb 2022
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