Flore SENTENAC

Assistant Professor

Information Systems and Operations Management

sentenac@hec.fr https://floresentenac.github.io/

Biography

I am an Assistant Professor in the Information Systems and Operations Management department at HEC Paris. My research focuses on online learning on algorithms, with applications in digital advertising. I received my Ph.D. in Applied Mathematics from ENSAE Paris in 2023 where my advisor was Vianney Perchet. Before my PhD, I completed my master and undergraduate studies at Ecole polytechnique (France) in 2019, and graduated from the master MVA (ENS Cachan) in 2019, with a major in machine learning.

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Scientific articles

Online Matching in Geometric Random Graphs

Mathematics of Operations Research, May 2026, vol. 51, n° 2, pp 1585-1625, (in coll. with N. Noiry, M. Lerasle, L. Ménard, V. Perchet)

Proceedings

Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits

38th Conference on Neural Information Processing Systems (NeurIPS 2024) , 2024 , Vancouver (S. LIU, A. AYOUB, X. TAN, C. SZEPESVÁRI)

On Preemption and Learning in Stochastic Scheduling

40th International Conference on Machine Learning , 2023 , 202 (N. MERLIS, H. RICHARD, C. ODIC, M. MOLINA, V. PERCHET)

Robust estimation of discrete distributions under local differential privacy

34th International Conference on Algorithmic Learning Theory , 2023 , 201 (J. CHHOR)

Decentralized Learning in Online Queuing Systems

35th Conference on Neural Information Processing Systems , 2021 , NeurIPS 2021 , 34 (E. BOURSIER, V. PERCHET)

Working papers

The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?

Cahier de Recherche du Groupe HEC , 2025