%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 }