Stochastic Control for Bayesian Neural Network Training

In this paper, we propose to leverage the Bayesian uncertainty information encoded in parameter distributions to inform the learning procedure for Bayesian models. We derive a first principle stochastic differential equation for the training dynamics of the mean and uncertainty parameter in the vari...

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Detalles Bibliográficos
Autores principales: Winkler, Ludwig, Ojeda, César, Opper, Manfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407447/
https://www.ncbi.nlm.nih.gov/pubmed/36010761
http://dx.doi.org/10.3390/e24081097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407447/
https://www.ncbi.nlm.nih.gov/pubmed/36010761
http://dx.doi.org/10.3390/e24081097

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