Sébastien Gadat

Clément Lalanne, and Sébastien Gadat, “Privately Learning Smooth Distributions on the Hypercube by Projections”, TSE Working Paper, n. 24-1505, February 2024.

Antoine Doury, Samuel Somot, and Sébastien Gadat, “On the suitability of a Convolutional Neural Network based RCM-Emulator for fine spatio-temporal precipitation”, TSE Working Paper, n. 24-1497, January 2024.

Sébastien Gadat, Yohann De Castro, and Clément Marteau, “FastPart: Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures”, TSE Working Paper, n. 23-1494, December 2023.

Sébastien Gadat, and Stéphane Villeneuve, “Parsimonious Wasserstein Text-mining”, TSE Working Paper, n. 23-1471, September 2023.

Marelys Crespo, Sébastien Gadat, and Xavier Gendre, “Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions”, TSE Working Paper, n. 23-1398, January 2023.

Sébastien Gadat, Fabien Panloup, and C. Pellegrini, “On the cost of Bayesian posterior mean strategy for log-concave models”, TSE Working Paper, n. 20-1155, October 2020, revised February 2022.

Sébastien Gadat, and Manon Costa, “Non asymptotic controls on a stochastic algorithm for superquantile approximation”, TSE Working Paper, n. 20-1149, September 2020.

Claire Christophe, Sébastien Gadat, and Patrick Cattiaux, “A stochastic model for cytotoxic T. Lymphocyte interaction with tumor nodules”, TSE Working Paper, n. 16-711, October 2016.