Sébastien Gadat

Sébastien Gadat, Bernard Bercu, Jérémie Bigot, and Emilia Siviero, “A Stochastic Gauss-Newton Algorithm for Regularized Semi-discrete Optimal Transport”, TSE Working Paper, n. 21.1231, July 2021.

Sébastien Gadat, Lola Corre, Antoine Doury, Aurélien Ribes, and Samuel Somot, “Regional Climate Model Emulator Based on Deep Learning: Concept and First Evaluation of a Novel Hybrid Downscaling Approach”, TSE Working Paper, n. 21.1233, July 2021.

Sébastien Gadat, and Ioana Gavra, “Asymptotic study of stochastic adaptive algorithm in non-convex landscape”, TSE Working Paper, n. 21-1175, January 2021.

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.

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

Sébastien Gadat, and Fabien Panloup, “Optimal non-asymptotic bound of the Ruppert-Polyak averaging without strong convexity”, TSE Working Paper, n. 17-856, October 2017, revised March 2018.

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