Convergence Rates for the Constrained Sampling via Langevin Monte Carlo

Sampling from constrained distributions has posed significant challenges in terms of algorithmic design and non-asymptotic analysis, which are frequently encountered in statistical and machine-learning models. In this study, we propose three sampling algorithms based on Langevin Monte Carlo with the...

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Bibliographic Details
Main Author: Yuanzheng Zhu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/8/1234