An optimal algorithm for adversarial bandits with arbitrary delays
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Standard
An optimal algorithm for adversarial bandits with arbitrary delays. / Zimmert, Julian Ulf; Seldin, Yevgeny.
Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, 2020. (Proceedings of Machine Learning Research, Vol. 108).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Zimmert, JU & Seldin, Y 2020, An optimal algorithm for adversarial bandits with arbitrary delays. in Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, Proceedings of Machine Learning Research, vol. 108. <https://proceedings.mlr.press/v108/>
APA
Zimmert, J. U., & Seldin, Y. (2020). An optimal algorithm for adversarial bandits with arbitrary delays. In Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020 PMLR. Proceedings of Machine Learning Research Vol. 108 https://proceedings.mlr.press/v108/
Vancouver
Zimmert JU, Seldin Y. An optimal algorithm for adversarial bandits with arbitrary delays. In Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR. 2020. (Proceedings of Machine Learning Research, Vol. 108).
Author
Bibtex
@inproceedings{16fbfd90f11644d1980568407cd0d510,
title = "An optimal algorithm for adversarial bandits with arbitrary delays",
author = "Zimmert, {Julian Ulf} and Yevgeny Seldin",
year = "2020",
language = "English",
series = "Proceedings of Machine Learning Research",
booktitle = "Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020",
publisher = "PMLR",
}
RIS
TY - GEN
T1 - An optimal algorithm for adversarial bandits with arbitrary delays
AU - Zimmert, Julian Ulf
AU - Seldin, Yevgeny
PY - 2020
Y1 - 2020
M3 - Article in proceedings
T3 - Proceedings of Machine Learning Research
BT - Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020
PB - PMLR
ER -
ID: 272647496