publications

codes — see my github profile. The python package PEPit for numerical worst-case analyses is available here and its documentation here.

talks — here is a selection of slides from previous presentations:

  • 07/2022: PEPit: a python package for worst-case analysis of first-order optimization methods and their continuous versions, ICCOPT, (slides)
  • 11/2021: Vers une IA plus frugale, talk at IHP for the IAPlusK seminar

preprints

  1. preprint
    Geometry-dependent matching pursuit: a transition phase for convergence on linear regression and LASSO
    Céline Moucer, Adrien Taylor, and Francis Bach
    2024
  2. preprint
    Constructive approaches to concentration inequalities with independent random variables
    Celine MoucerAdrien Taylor, and Francis Bach
    2024

journals

  1. journal
    PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python
    Baptiste Goujaud, Céline Moucer, François Glineur, Julien Hendrickx, Adrien Taylor, and Aymeric Dieuleveut
    Mathematical Programming Computation 2024
  2. journal
    A systematic approach to Lyapunov analyses of continuous-time models in convex optimization
    Céline Moucer, Adrien Taylor, and Francis Bach
    SIAM journal on Optimization 2023