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No Weighted-Regret Learning in Adversarial Bandits with Delays
v1v2 (latest)

No Weighted-Regret Learning in Adversarial Bandits with Delays

Journal of machine learning research (JMLR), 2021
8 March 2021
Ilai Bistritz
Zhengyuan Zhou
Xi Chen
Nicholas Bambos
Jose H. Blanchet
ArXiv (abs)PDFHTML

Papers citing "No Weighted-Regret Learning in Adversarial Bandits with Delays"

6 / 6 papers shown
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu
Emmanuel Esposito
Mengxiao Zhang
221
6
0
09 Jun 2025
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offsAnnual Conference Computational Learning Theory (COLT), 2025
Alexander Ryabchenko
Idan Attias
Daniel M. Roy
CLL
370
3
0
25 Mar 2025
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Yuanyu Wan
Chang Yao
Weilong Dai
Lijun Zhang
386
9
0
14 Feb 2024
Delayed Bandits: When Do Intermediate Observations Help?
Delayed Bandits: When Do Intermediate Observations Help?International Conference on Machine Learning (ICML), 2023
Emmanuel Esposito
Saeed Masoudian
Hao Qiu
Dirk van der Hoeven
Nicolò Cesa-Bianchi
Yevgeny Seldin
236
5
0
30 May 2023
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing
Risk-Aware Linear Bandits: Theory and Applications in Smart Order RoutingSocial Science Research Network (SSRN), 2022
Jingwei Ji
Renyuan Xu
Ruihao Zhu
255
1
0
04 Aug 2022
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial GamesScience China Information Sciences (Sci. China Inf. Sci.), 2022
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
351
26
0
16 Jul 2022
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