A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization

A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization

Stochastic gradient <span style="font-variant: small-caps;">sg</span>-based algorithms for Markov chain Monte Carlo sampling (<span style="font-variant: small-caps;">sgmcmc</span>) tackle large-scale Bayesian modeling problems by operating on mini-batches...

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Detalles Bibliográficos
Autores principales: Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Bayesian sampling
stochastic gradients
Monte Carlo integration
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
Acceso en línea:https://doaj.org/article/ce4b43b8d50f4f07bbae919563d8ebfd
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https://doaj.org/article/ce4b43b8d50f4f07bbae919563d8ebfd

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