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Constrained Langevin Algorithms with L-mixing External Random Variables

Constrained Langevin Algorithms with L-mixing External Random Variables

27 May 2022
Yu Zheng
Andrew G. Lamperski
ArXivPDFHTML

Papers citing "Constrained Langevin Algorithms with L-mixing External Random Variables"

4 / 4 papers shown
Title
Efficient Sampling of Stochastic Differential Equations with Positive
  Semi-Definite Models
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Anant Raj
Umut Simsekli
Alessandro Rudi
DiffM
31
1
0
30 Mar 2023
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
D. Nguyen
Xin Dang
Yixin Chen
40
14
0
16 Jan 2021
Faster Convergence of Stochastic Gradient Langevin Dynamics for
  Non-Log-Concave Sampling
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling
Difan Zou
Pan Xu
Quanquan Gu
41
35
0
19 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
1