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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |