English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Being a Bit Frequentist Improves Bayesian Neural Networks

MPS-Authors
/persons/resource/persons84387

Hennig,  Philipp
Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-000F-FD52-8
Abstract
There is no abstract available