Berkay Turan — accepted AI-conference papers

2024

Directional Optimism for Safe Linear Bandits

Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh

AISTATS 2024poster

The safe linear bandit problem is a version of the classical stochastic linear bandit problem where the learner’s actions must satisfy an uncertain constraint at all rounds. Due its applicability to many real-world settings, this problem has received considerable attention in recent years. By levera…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2022

Feature and Parameter Selection in Stochastic Linear Bandits

Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh

ICML 2022spotlight

We study two model selection settings in stochastic linear bandits (LB). In the first setting, which we refer to as feature selection, the expected reward of the LB problem is in the linear span of at least one of $M$ feature maps (models). In the second setting, the reward parameter of the LB probl…

Cited by 11 Source ↗PDF ↗Scholar ↗