Céline Moucer

INRIA SIERRA Team, Ecole normale supérieure, Paris France.


2 rue Simone Iff

75012 Paris, France

Office C406 (on floor 4)


I am a third year PhD student at Inria Paris, under the supervision of Adrien Taylor and Francis Bach.

My research focuses on first-order convex optimization methods for (possibly sparse) machine learning problems. Previously, I have been working on continuous-time models related to these methods, using computer-aided techniques for worst-case analysis.

Prior to that, I graduated from Ecole Polytechnique (X2016) and got a master degree in Maths, Vision and Learning in 2020 (master MVA) from Ecole Normale Supérieure and Ecole des Ponts.

You can find a list of my publications and codes here.


Aug 30, 2023 Our paper on continuous-time Lyapunov analysis was accepted at SIOPT!
Aug 24, 2023 Presenting PEPit and continuous-time PEP at EUROPT2023.
Feb 14, 2023 PEP talks took place à Louvain-la-Neuve, thanks to all the participants!
Oct 24, 2022 During two days, we welcome 25 high school girls at INRIA Paris as part of the RJMI program.
Jul 25, 2022 Presenting PEPit at ICCOPT.
Sep 1, 2021 Starting my PhD at INRIA Paris.

selected publications

  1. preprint
    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
  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
  3. preprint
    Geometry-dependent matching pursuit: a transition phase for convergence on linear regression and LASSO
    Céline Moucer, Adrien Taylor, and Francis Bach