Presentation

I am an assistant professor in statistics at ENSAI (Rennes) working on topics related to machine learning and high-dimensional statistics. My PhD centered on two areas in modern statistics: change-point detection and ranking problems.

PhD advisors:

Publications

  • E. Pilliat, A. Carpentier, N. Verzelen, Optimal rates for ranking a permuted isotonic matrix in polynomial time (2024) SODA.
  • E. Pilliat, A. Carpentier, N. Verzelen, Optimal permutation estimation in crowd-sourcing problems (2023) Annals of Statistics.
    [arxiv], [presentation], [poster]
  • E. Pilliat, A. Carpentier, N. Verzelen, Optimal multiple change-point detection for high-dimensional data (2023) EJS.
    [arxiv], [cite].
  • Lecture Notes

    Work in progress...

    Vitae

    Research

    Experience

    • Apr 2021 - Oct 2021: Quantitative Intern at QRT

    Education

    Teaching

    • 2020-2022: Teaching assistant at Université de Montpellier.

    Contact


    Emmanuel Pilliat
    IMAG, Université de Montpellier
    499-554 Rue du Truel, 34090 Montpellier

    ❬firstname❭.❬lastname❭@umontpellier.fr

    Contact me on LinkedIn

    github