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.
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk [link]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}
}

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