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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| 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 |