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Differentiable PAC–Bayes Objectives with Partially Aggregated Neural Networks
We make two related contributions motivated by the challenge of training stochastic neural networks, particularly in a PAC–Bayesian setting: (1) we show how averaging over an ensemble of stochastic neural networks enables a new class of partially-aggregated estimators, proving that these lead to unb...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535105/ https://www.ncbi.nlm.nih.gov/pubmed/34682004 http://dx.doi.org/10.3390/e23101280 |