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  Being a Bit Frequentist Improves Bayesian Neural Networks

Kristiadi, A., Hein, M., & Hennig, P. (2022). Being a Bit Frequentist Improves Bayesian Neural Networks. In G. Camps-Valls, F. J. R. Ruiz, & I. Valera (Eds.), Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022 (pp. 529-545). PMLR. Retrieved from https://proceedings.mlr.press/v151/kristiadi22a.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-FD52-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-FD53-7
Genre: Conference Paper

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Locator:
https://proceedings.mlr.press/v151/kristiadi22a.html (Publisher version)
Description:
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OA-Status:
Miscellaneous
Locator:
https://doi.org/10.48550/arXiv.2106.10065 (Preprint)
Description:
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OA-Status:
Green

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 Creators:
Kristiadi, Agustinus 1, Author
Hein, Matthias 1, Author
Hennig, Philipp2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344694              

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Free keywords: Forschungsgruppe Hennig
 Abstract: -

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: https://proceedings.mlr.press/v151/kristiadi22a.html
arXiv: 2106.10065
BibTex Citekey: AguHeiHen22
 Degree: -

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Title: 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)
Place of Event: Online
Start-/End Date: 2022-03-28 - 2022-03-30

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Title: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
Source Genre: Proceedings
 Creator(s):
Camps-Valls, Gustau 1, Editor
Ruiz, Francisco J. R.1, Editor
Valera, Isabel 1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 529 - 545 Identifier: URI: https://proceedings.mlr.press/v151/

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Title: Proceedings of Machine Learning Research
  Abbreviation : PMLR
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 151 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498
URI: https://proceedings.mlr.press