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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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/ce4b43b8d50f4f07bbae919563d8ebfd |
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