Distributionally robust batch contextual bandits
| Year of publication: |
2023
|
|---|---|
| Authors: | Si, Nian ; Zhang, Fan ; Zhou, Zhengyuan ; Blanchet, Jose |
| Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Hanover, Md. : INFORMS, ISSN 1526-5501, ZDB-ID 2023019-9. - Vol. 69.2023, 10, p. 5772-5793
|
| Subject: | contextual bandits | distributional robustness | personalization | policy learning | Theorie | Theory | Robustes Verfahren | Robust statistics | Lernprozess | Learning process |
-
Multitask learning and bandits via robust statistics
Xu, Kan, (2025)
-
Learning from MOM's principles : Le Cam's approach
Lecué, Guillaume, (2017)
-
Technical note: time inconsistency of optimal policies of distributionally robust inventory models
Shapiro, Alexander, (2020)
- More ...
-
Optimal uncertainty size in distributionally robust inverse covariance estimation
Blanchet, Jose, (2019)
-
Delay-adaptive learning in generalized linear contextual bandits
Blanchet, Jose, (2024)
-
Blanchet, Jose, (2022)
- More ...