Sampling the Variational Posterior with Local Refinement

Variational inference is an optimization-based method for approximating the posterior distribution of the parameters in Bayesian probabilistic models. A key challenge of variational inference is to approximate the posterior with a distribution that is computationally tractable yet sufficiently expre...

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Detalles Bibliográficos
Autores principales: Havasi, Marton, Snoek, Jasper, Tran, Dustin, Gordon, Jonathan, Hernández-Lobato, José Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621907/
https://www.ncbi.nlm.nih.gov/pubmed/34828173
http://dx.doi.org/10.3390/e23111475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621907/
https://www.ncbi.nlm.nih.gov/pubmed/34828173
http://dx.doi.org/10.3390/e23111475

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