Geometric Variational Inference

Efficiently accessing the information contained in non-linear and high dimensional probability distributions remains a core challenge in modern statistics. Traditionally, estimators that go beyond point estimates are either categorized as Variational Inference (VI) or Markov-Chain Monte-Carlo (MCMC)...

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Detalles Bibliográficos
Autores principales: Frank, Philipp, Leike, Reimar, Enßlin, Torsten A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307522/
https://www.ncbi.nlm.nih.gov/pubmed/34356394
http://dx.doi.org/10.3390/e23070853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307522/
https://www.ncbi.nlm.nih.gov/pubmed/34356394
http://dx.doi.org/10.3390/e23070853

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