2 code implementations • 29 Oct 2023 • Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut
The energy landscape of high-dimensional non-convex optimization problems is crucial to understanding the effectiveness of modern deep neural network architectures.
1 code implementation • 11 Jan 2022 • Baptiste Goujaud, Céline Moucer, François Glineur, Julien Hendrickx, Adrien Taylor, Aymeric Dieuleveut
PEPit is a Python package aiming at simplifying the access to worst-case analyses of a large family of first-order optimization methods possibly involving gradient, projection, proximal, or linear optimization oracles, along with their approximate, or Bregman variants.
no code implementations • 10 Dec 2020 • Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas
Since smoothness and strong convexity are not continuous, we propose a comprehensive study of existing alternative metrics which we prove to be continuous.
4 code implementations • NeurIPS 2019 • Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio
To prevent forgetting, a replay buffer is usually employed to store the previous data for the purpose of rehearsal.
no code implementations • 21 Dec 2017 • Baptiste Goujaud, Eric W. Tramel, Pierre Courtiol, Mikhail Zaslavskiy, Gilles Wainrib
Detection of interactions between treatment effects and patient descriptors in clinical trials is critical for optimizing the drug development process.