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%0 Conference Paper
%1 conf/nips/SachsHEG22
%A Sachs, Sarah
%A Hadiji, Hédi
%A van Erven, Tim
%A Guzmán, Cristóbal
%B NeurIPS
%D 2022
%E Koyejo, Sanmi
%E Mohamed, S.
%E Agarwal, A.
%E Belgrave, Danielle
%E Cho, K.
%E Oh, A.
%K dblp
%T Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#SachsHEG22
%@ 9781713871088
@inproceedings{conf/nips/SachsHEG22,
added-at = {2024-01-08T00:00:00.000+0100},
author = {Sachs, Sarah and Hadiji, Hédi and van Erven, Tim and Guzmán, Cristóbal},
biburl = {https://www.bibsonomy.org/bibtex/2fa6bc01ebfd103cf4c485c51eef18f73/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2022},
editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.},
ee = {http://papers.nips.cc/paper_files/paper/2022/hash/047aa59e51e3ac7a2422a55468feefd5-Abstract-Conference.html},
interhash = {f1a273eef193e3e6edc1f9ae17de403c},
intrahash = {fa6bc01ebfd103cf4c485c51eef18f73},
isbn = {9781713871088},
keywords = {dblp},
timestamp = {2024-04-09T23:22:16.000+0200},
title = {Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#SachsHEG22},
year = 2022
}