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Flore SENTENAC

Assistant Professor

Information Systems and Operations Management

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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.

Scientific articles

Online Matching in Geometric Random Graphs

Mathematics of Operations Research, Forthcoming, (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)

Scientific articles

Online Matching in Geometric Random Graphs

Mathematics of Operations Research, Forthcoming, (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)

Education

  • Doctorate, CREST ENSAE - France

Academic appointments

Academic Responsibilities at HEC

  • 2024- Assistant Professor, Information Systems and Operations Management HEC Paris
  • 2024- Member of GREGHEC, the joint research laboratory CNRS-HEC Paris HEC Paris