Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. Chen, T., Gangrade, A., & Saligrama, V. In Chaudhuri, K., Jegelka, S., Song, L., Szepesvári, C., Niu, G., & Sabato, S., editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, volume 162, of Proceedings of Machine Learning Research, pages 3123–3148, 2022. PMLR. Paper bibtex 4 downloads @inproceedings{DBLP:conf/icml/ChenGS22,
author = {Tianrui Chen and
Aditya Gangrade and
Venkatesh Saligrama},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and
Risk},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {3123--3148},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/chen22e.html},
timestamp = {Tue, 12 Jul 2022 17:36:52 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenGS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Downloads: 4
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