About me

I am a first-year PhD student in the Sierra team at Inria and ENS Ulm, under the supervision of Francis Bach and Michael I. Jordan. My research focuses on decision-making in multi-agent environments, an area that lies at the intersection of machine learning, statistics, and game theory.

I am particularly interested in understanding how strategic agents can coordinate their actions to shape the decisions of other agents that rely on learning algorithms. I also work on uncertainty quantification, with the broader goal of optimizing multi-agent interactions.

Before my PhD, I earned a Master’s degree in Mathematics, Vision, and Learning at ENS Paris-Saclay and a Cycle Ingénieur Polytechnicien (X2020) degree from École polytechnique, where I majored in Applied Mathematics with an additional focus on Mathematics and Computer Science. I also worked on representation theory during a research visit to the Kyoto University Institute for Advanced Study.

📰 Latest News

🇫🇷 Excited to participate in the OCEAN Summer Retreat in Paris, where I will present our paper E-Values Expand the Scope of Conformal Prediction.
July 21-25, 2025

🇨🇦 Our paper Statistical Collusion by Collectives on Learning Platforms was selected for an oral presentation at ICML 2025! I will be presenting it in Vancouver this July.
July 13-19, 2025

🇮🇳 Heading to Chennai for the 3rd Annual Workshop on Game-Theoretic Statistical Inference!
June 29 - July 4, 2025

🇨🇵 I am honored to be an invited speaker at the conference From Matching to Market: A Tale of Mathematics, Economics and Computer Science, held in Cargèse.
April 28 - May 2, 2025

I officially started my PhD at Inria and ENS Ulm.
September 1, 2024

🇮🇹 I participated in the OCEAN Summer Retreat at Ca’ Foscari University of Venice.
July 7-12, 2024

Research

  1. arXiv
    Etienne Gauthier, Francis Bach, Michael I. Jordan
    Preprint.
  2. arXiv
    Etienne Gauthier, Francis Bach, Michael I. Jordan
    Preprint.
  3. ICML
    Etienne Gauthier, Francis Bach, Michael I. Jordan
    Proceedings of the International Conference on Machine Learning (ICML), 2025. Oral (top 1%).
  4. arXiv
    Hideto Asashiba, Etienne Gauthier, Enhao Liu
    Preprint.