Aya Kayal — accepted AI-conference papers

2025

Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds

Aya Kayal, Sattar Vakili, Laura Toni, Da-shan Shiu, Alberto Bernacchia

ICML 2025poster

Bayesian optimization (BO) with preference-based feedback has recently garnered significant attention due to its emerging applications. We refer to this problem as Bayesian Optimization from Human Feedback (BOHF), which differs from conventional BO by learning the best actions from a reduced feedbac…

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2025

Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning

Aya Kayal, Sattar Vakili, Laura Toni, Alberto Bernacchia

AISTATS 2025poster

Reinforcement Learning (RL) problems are being considered under increasingly more complex structures. While tabular and linear models have been thoroughly explored, the analytical study of RL under non-linear function approximation, especially kernel-based models, has recently gained traction for…

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