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stat.ML2025

Optimal Best Arm Identification under Differential Privacy

Marc Jourdan, Achraf Azize

Best Arm Identification (BAI) algorithms are deployed in data-sensitive applications, such as adaptive clinical trials or user studies. Driven by the privacy concerns of these appl…

stat.ML2025

Learning Parametric Distributions from Samples and Preferences

Marc Jourdan, Gizem Yüce, Nicolas Flammarion

Recent advances in language modeling have underscored the role of preference feedback in enhancing model performance. This paper investigates the conditions under which preference…

stat.ML2024

Differentially Private Best-Arm Identification

Achraf Azize, Marc Jourdan, Aymen Al Marjani +1

Best Arm Identification (BAI) problems are progressively used for data-sensitive applications, such as designing adaptive clinical trials, tuning hyper-parameters, and conducting u…

stat.ML2023

An Anytime Algorithm for Good Arm Identification

Marc Jourdan, Andrée Delahaye-Duriez, Clémence Réda

In good arm identification (GAI), the goal is to identify one arm whose average performance exceeds a given threshold, referred to as a good arm, if it exists. Few works have studi…

stat.ML20232 cited

On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence

Achraf Azize, Marc Jourdan, Aymen Al Marjani +1

Best Arm Identification (BAI) problems are progressively used for data-sensitive applications, such as designing adaptive clinical trials, tuning hyper-parameters, and conducting u…