Esmaeil Keyvanshokooh

2 accepted papers

2025

HR-Bandit: Human-AI Collaborated Linear Recourse Bandit

Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh

AISTATS 2025poster

Human doctors frequently recommend actionable recourses that allow patients to modify their conditions to access more effective treatments. Inspired by such healthcare scenarios, we propose the Recourse Linear UCB (\textsf{RLinUCB}) algorithm, which optimizes both action selection and feature modifi…

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2024

Contextual Bandits with Budgeted Information Reveal

Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan Murphy

AISTATS 2024poster

Contextual bandit algorithms are commonly used in digital health to recommend personalized treatments. However, to ensure the effectiveness of the treatments, patients are often requested to take actions that have no immediate benefit to them, which we refer to as pro-treatment actions. In practice,…

Cited by 5 Source ↗PDF ↗Scholar ↗