Jérôme Bolte

François Bachoc, Jérôme Bolte, Ryan Boustany, and Jean-Michel Loubes, “When majority rules, minority loses: bias amplification of gradient descent”, TSE Working Paper, n. 25-1641, May 2025.

Jérôme Bolte, Tam Le, and Edouard Pauwels, “Subgradient sampling for nonsmooth nonconvex minimization”, TSE Working Paper, n. 22-1310, February 2022.

Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, and Matthieu Serrurier, “A Hölderian backtracking method for min-max and min-min problems”, TSE Working Paper, n. 21-1243, September 2021.

Jérôme Bolte, Edouard Pauwels, and Rodolfo Rios-Zertuche, “Long term dynamics of the subgradient method for Lipschitz path differentiable functions”, TSE Working Paper, n. 20-1110, June 2020.

Jérôme Bolte, and Edouard Pauwels, “Curiosities and counterexamples in smooth convex optimization”, TSE Working Paper, n. 20-1080, March 2020.

Jérôme Bolte, Camille Castera, Edouard Pauwels, and Cédric Févotte, “An Inertial Newton Algorithm for Deep Learning”, TSE Working Paper, n. 19-1043, October 2019.