Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models

Variational algorithms have gained prominence over the past two decades as a scalable computational environment for Bayesian inference. In this article, we explore tools from the dynamical systems literature to study the convergence of coordinate ascent algorithms for mean field variational inferenc...

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Detalles Bibliográficos
Autores principales: Plummer, Sean, Pati, Debdeep, Bhattacharya, Anirban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711628/
https://www.ncbi.nlm.nih.gov/pubmed/33287031
http://dx.doi.org/10.3390/e22111263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711628/
https://www.ncbi.nlm.nih.gov/pubmed/33287031
http://dx.doi.org/10.3390/e22111263

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