Inproceedings,
How Tight Can PAC-Bayes be in the Small Data Regime?
A. Foong, W. Bruinsma, D. Burt, and R. Turner.NeurIPS, page 4093-4105. (2021)
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- 2021
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- 4093-4105
- crossref
- conf/nips/2021
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- https://proceedings.neurips.cc/paper/2021/hash/214cfbe603b7f9f9bc005d5f53f7a1d3-Abstract.html
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- please select -%0 Conference Paper
%1 conf/nips/FoongBBT21
%A Foong, Andrew Y. K.
%A Bruinsma, Wessel P.
%A Burt, David R.
%A Turner, Richard E.
%B NeurIPS
%D 2021
%E Ranzato, Marc'Aurelio
%E Beygelzimer, Alina
%E Dauphin, Yann N.
%E Liang, Percy
%E Vaughan, Jennifer Wortman
%K dblp
%P 4093-4105
%T How Tight Can PAC-Bayes be in the Small Data Regime?
%U http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#FoongBBT21
@inproceedings{conf/nips/FoongBBT21,
added-at = {2022-05-03T00:00:00.000+0200},
author = {Foong, Andrew Y. K. and Bruinsma, Wessel P. and Burt, David R. and Turner, Richard E.},
biburl = {https://www.bibsonomy.org/bibtex/237f31899ddb976f92cad2fe1a869c6e5/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2021},
editor = {Ranzato, Marc'Aurelio and Beygelzimer, Alina and Dauphin, Yann N. and Liang, Percy and Vaughan, Jennifer Wortman},
ee = {https://proceedings.neurips.cc/paper/2021/hash/214cfbe603b7f9f9bc005d5f53f7a1d3-Abstract.html},
interhash = {1a5695f49a898e3fdcca77d15f882f7e},
intrahash = {37f31899ddb976f92cad2fe1a869c6e5},
keywords = {dblp},
pages = {4093-4105},
timestamp = {2024-04-09T23:20:59.000+0200},
title = {How Tight Can PAC-Bayes be in the Small Data Regime?},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#FoongBBT21},
year = 2021
}