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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Detalles Bibliográficos
Autor principal: Zhu, Yuanzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453724/
https://www.ncbi.nlm.nih.gov/pubmed/37628264
http://dx.doi.org/10.3390/e25081234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453724/
https://www.ncbi.nlm.nih.gov/pubmed/37628264
http://dx.doi.org/10.3390/e25081234

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