research
∙
08/28/2020
Statistically Robust, Risk-Averse Best Arm Identification in Multi-Armed Bandits
Traditional multi-armed bandit (MAB) formulations usually make certain a...
share
research
∙
06/22/2020
Bandit algorithms: Letting go of logarithmic regret for statistical robustness
We study regret minimization in a stochastic multi-armed bandit setting ...
research
∙
06/17/2020
Constrained regret minimization for multi-criterion multi-armed bandits
We consider a stochastic multi-armed bandit setting and study the proble...
research
∙
10/28/2019
Please come back later: Benefiting from deferrals in service systems
The performance evaluation of loss service systems, where customers who ...
research
∙
06/03/2019