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On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint
  Sampling Method

On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method

6 November 2020
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
ArXivPDFHTML

Papers citing "On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method"

8 / 8 papers shown
Title
Mean-field underdamped Langevin dynamics and its spacetime
  discretization
Mean-field underdamped Langevin dynamics and its spacetime discretization
Qiang Fu
Ashia Wilson
34
4
0
26 Dec 2023
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
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration
Nawaf Bou-Rabee
Milo Marsden
32
12
0
20 Nov 2022
A Dynamical System View of Langevin-Based Non-Convex Sampling
A Dynamical System View of Langevin-Based Non-Convex Sampling
Mohammad Reza Karimi
Ya-Ping Hsieh
Andreas Krause
31
4
0
25 Oct 2022
The shifted ODE method for underdamped Langevin MCMC
The shifted ODE method for underdamped Langevin MCMC
James Foster
Terry Lyons
Harald Oberhauser
13
16
0
10 Jan 2021
Random Coordinate Underdamped Langevin Monte Carlo
Random Coordinate Underdamped Langevin Monte Carlo
Zhiyan Ding
Qin Li
Jianfeng Lu
Stephen J. Wright
BDL
13
13
0
22 Oct 2020
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Murat A. Erdogdu
Rasa Hosseinzadeh
Matthew Shunshi Zhang
86
41
0
22 Jul 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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