Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
International Conference on Machine Learning
Saved in:
Main Authors: | Zhong, Zixin, CHEUNG WANG CHI, Tan, Vincent VF |
---|---|
Other Authors: | INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT |
Format: | Conference or Workshop Item |
Published: |
2020
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/172702 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
by: Cheung, Wang Chi, et al.
Published: (2021) -
PERFORMANCE GUARANTEES FOR ONLINE LEARNING: CASCADING BANDITS AND ADVERSARIAL CORRUPTIONS
by: ZHONG ZIXIN
Published: (2021) -
THE CONFIDENCE BOUND METHOD FOR THE MULTI-ARMED BANDIT PROBLEM WITH LARGE ARM SIZE
by: HU SHOURI
Published: (2020) -
Avoiding starvation of arms in restless multi-armed bandit
by: LI, Dexun, et al.
Published: (2023) -
Avoiding starvation of arms in restless multi-armed bandit
by: LI, Dexun, et al.
Published: (2023)