ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.08592
  4. Cited By
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin
  Integrators

Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators

14 June 2023
B. Leimkuhler
Daniel Paulin
P. Whalley
ArXivPDFHTML

Papers citing "Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators"

7 / 7 papers shown
Title
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
49
4
0
14 Oct 2024
Nonlinear Hamiltonian Monte Carlo & its Particle Approximation
Nonlinear Hamiltonian Monte Carlo & its Particle Approximation
Nawaf Bou-Rabee
Katharina Schuh
23
7
0
22 Aug 2023
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
20
10
0
02 Feb 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
29
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
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
1