Gadat, Sébastien and Panloup, Fabien (2023) Optimal non-asymptotic analysis of the Ruppert-Polyak averaging stochastic algorithm. Stochastic Processes and their Applications, vol. 156. pp. 312-348.

Gadat, Sébastien, Panloup, Fabien and Pellegrini, C. (2020) On the cost of Bayesian posterior mean strategy for log-concave models. TSE Working Paper, n. 20-1155, Toulouse

Panloup, Fabien, Saadane, Sofiane and Gadat, Sébastien (2018) Regret bound for Narendra-Shapiro bandit algorithms. Stochastics. pp. 886-926.

Gadat, Sébastien, Panloup, Fabien and Saadane, Sofiane (2018) Stochastic Heavy Ball. Electronic Journal of Statistics, 12 (1). pp. 461-529.

Gadat, Sébastien and Panloup, Fabien (2017) Optimal non-asymptotic analysis of the Ruppert-Polyak averaging stochastic algorithm. TSE Working Paper, n. 17-856, Toulouse

Gadat, Sébastien, Panloup, Fabien and Saadane, Sofiane (2016) Stochastic Heavy Ball. TSE Working Paper, n. 16-712

Gadat, Sébastien, Miclo, Laurent and Panloup, Fabien (2015) A stochastic model for speculative bubbles. Alea - Latin American Journal of Probability and Mathematical Statistics, 12 (1).

Gadat, Sébastien, Panloup, Fabien and Saadane, Sofiane (2015) Regret bound for Narendra-Shapiro bandit algorithms. TSE Working Paper, n. 15-556, Toulouse

Gadat, Sébastien and Panloup, Fabien (2014) Long time behavior and stationary regime of memory gradient diffusions. Annales de l'Institut Henri Poincaré, 50 (2). pp. 564-601.

Gadat, Sébastien, Panloup, Fabien and Pellegrini, C. (2013) Large deviation principle for invariant distributions of memory gradient diffusions. Electronic Journal of Probability, 18. pp. 1-34.