Article

Costa, Manon, Gadat, Sébastien and Huang, Lorick (2025) CV@R penalized portfolio optimization with biased stochastic mirror descent. Finance and Stochastics, Vol. 29. pp. 609-664.

Doury, Antoine, Gadat, Sébastien and Somot, Samuel (2024) On the suitability of a Convolutional Neural Network based RCM-Emulator for fine spatio-temporal precipitation. Climate Dynamics, vol.62. pp. 8587-8613.

Crespo, Marelys, Gadat, Sébastien and Gendre, Xavier (2024) Stochastic gradient langevin dynamics for (weakly) log-concave posterior distributions. Electronic Journal of Probability, Vol. 29. pp. 1-40.

Bercu, Bernard, Bigot, Jérémie, Gadat, SébastienORCID: https://orcid.org/0000-0003-1623-8550 and Siviero, Emilia (2023) A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport. Information and Inference: A Journal of the IMA, Vol. 12 (n° 1). pp. 390-447.

Doury, AntoineORCID: https://orcid.org/0000-0002-4201-4414, Somot, Samuel, Gadat, SébastienORCID: https://orcid.org/0000-0003-1623-8550, Ribes, Aurélien and Corre, Lola (2023) Regional Climate Model Emulator Based on Deep Learning: Concept and First Evaluation of a Novel Hybrid Downscaling Approach. Climate Dynamics, vol. 60. pp. 1751-1779.

Gadat, Sébastien and Costa, Manon (2021) Non-Asymptotic Study of a Recursive Superquantile Estimation Algorithm. Electronic Journal of Statistics, vol.15 (n°2). pp. 4718-4769.

Gadat, Sébastien, Gerchinovitz, Sebastien and Marteau, Clément (2020) Optimal functional supervised classification with separation condition. Bernoulli journal, vol. 26 (n° 3). pp. 1797-1831.

Costa, Manon, Gadat, Sébastien, Gonnord, Pauline and Risser, Laurent (2019) Cytometry inference through adaptive atomic deconvolution. Journal of Nonparametric Statistics, vol. 31 (n° 2). pp. 506-547.

Gonnord, Pauline, Costa, Megan, Abreu, Arnaud, Peres, Michael, Ysebaert, Loic, Gadat, Sébastien and Valitutti, Salvatore (2019) Multiparametric analysis of CD8+ T cell compartment phenotype in chronic lymphocytic leukemia reveals a signature associated with progression toward therapy. OncoImmunology, vol. 8 (n° 4).

Christophe, Claire, Dupré, Loïc, Gadat, Sébastien, Guipouy, Delphine, Müller, Sabina, Valitutti, Salvatore, Vasconcelos, Zilton and Yu, Wong (2015) Individual Human Cytotoxic T Lymphocytes Exhibit Intraclonal Heterogeneity during Sustained Killing. Cell Reports, vol. 11 (n° 9). pp. 1474-1485.

Cattiaux, Patrick, Christophe, Claire, Dupré, Loïc, Gadat, Sébastien, Rodrigues, Magda and Valitutti, Salvatore (2015) A biased competition model of dynamical cytotoxic T lymphocytes tumor nodule interaction. Plos One, vol. 10 (n° 3).

Bontemps, Dominique and Gadat, Sébastien (2014) Bayesian methods for the shape invariant model. Electronic Journal of Statistics, 8 (1). pp. 1522-1568.

Champion, Magali, Chastaing, Gaelle, Gadat, Sébastien and Prieur, Clémentine (2014) L2-boosting on a generalized Hoeffding decomposition for dependent variables. Application to Sensitivity Analysis. Statistica Sinica.

Dedieu, D., Delpierre, C., Gadat, Sébastien, Lang, T., Lepage, Benoît and Savy, N. (2014) Mixed hidden markov model for heterogeneous longitudinal data with missingness and errors in the outcome variable. Journal de la Société Française de statistique.

Bontemps, Dominique and Gadat, Sébastien (2014) Posterior contraction rates on probability measures. Electronic Journal of Statistics.

Bigot, Jérémie, Gadat, Sébastien and Marteau, Clément (2010) Sharp template estimation in a shifted curves model. Electronic Journal of Statistics, 4. pp. 994-1021.

Monograph

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

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

Bercu, Bernard, Costa, Manon and Gadat, Sébastien (2020) Stochastic approximation algorithms for superquantiles estimation. TSE Working Paper, n. 20-1142, Toulouse

De Castro, Y., Gadat, Sébastien, Marteau, Clément and Maugis, Cathy (2019) SuperMix: Sparse Regularization for Mixture. TSE Working Paper, n. 19-1040, Toulouse

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

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

Gadat, Sébastien, Gavra, Ioana and Risser, Laurent (2016) How to calculate the barycenter of a weighted graph. TSE Working Paper, n. 16-652, Toulouse

Gadat, Sébastien, Marteau, Clément and Maugis, Cathy (2016) Parameter recovery in two-component contamination mixtures: the L2 strategy. TSE Working Paper, n. 16-653, Toulouse

Chopin, Nicolas, Gadat, Sébastien, Guedj, Benjamin, Guyader, Arnaud and Vernet, Elodie (2015) On some recent advances in high dimensional Bayesian Statistics. TSE Working Paper, n. 15-557

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

Gadat, Sébastien, Klein, Thierry and Marteau, Clément (2014) Classification with the nearest neighbor rule in general finite dimensional spaces. TSE Working Paper, n. 14-540

Christophe, Claire, Rodrigues, Magda, Müller, Sabina, Dupré, Loïc, Cattiaux, Patrick, Gadat, Sébastien and Valitutti, Salvatore (2014) A biased competition model of dynamical cytotoxic T lymphocytes/tumor nodule interaction. TSE Working Paper, n. 14-539, Toulouse