Costa, Manon, Gadat, Sébastien and Huang, Lorick (2025) CV@R penalized portfolio optimization with biased stochastic mirror descent. Finance and Stochastics. (In Press)

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.

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

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

Gadat, Sébastien and Lalanne, Clément (2024) Privately learning smooth distribution on the hypercube by projections. Proceedings of Machine Learning Research, Vol. 235. 25936 - 25975.

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.

Gadat, Sébastien, Castro, Yohann de and Marteau, Clément (2023) FastPart : Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures. TSE Working Paper, n. 23-1494, Toulouse

Gadat, Sébastien and Villeneuve, Stéphane (2023) Parsimonious Wasserstein Text-mining. TSE Working Paper, n. 23-1471, Toulouse

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.

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

Gadat, Sébastien, Corre, Lola, Doury, Antoine, Ribes, Aurélien and Somot, Samuel (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 Gavra, Ioana (2022) Asymptotic study of stochastic adaptive algorithm in non-convex landscape. Journal of Machine Learning Research, vol. 23 (art. 228). pp. 1-54.

Bercu, Bernard, Bigot, Jérémie, Gadat, Sébastien and Siviero, Emilia (2022) A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport. Information and Inference: A Journal of the IMA. pp. 1-56.

Bercu, Bernard, Gadat, Sébastien and Costa, Manon (2021) Stochastic approximation algorithms for superquantiles estimation. Electronic Journal of Probability, vol. 26 (n° 84). pp. 1-29.

Lafouresse, Fanny, Jugele, Romain, Müller, Sabina, Doineau, Marine, Duplan-Eche, Valérie, Espinosa, Eric, Puissegur, Marie-Pierre, Gadat, Sébastien and Valitutti, Salvatore (2021) Stochastic asymmetric repartition of lytic machinery in dividing CD8+ T cells generates heterogeneous killing behavior. eLife.

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.

Castro, Yohann de, Gadat, Sébastien, Marteau, Clément and Maugis, Cathy (2021) SuperMix: Sparse Regularization for Mixture. Annals of Statistics, vol. 49 (n° 3). pp. 1779-1809.

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

Gadat, Sébastien, Marteau, Clément and Maugis, Cathy (2020) Parameter recovery in two-component contamination mixtures: the L2 strategy. Annales de l'Institut Henri Poincaré, vol. 56 (n° 2). pp. 1391-1418.

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).

Gadat, Sébastien, Gavra, Ioana and Risser, Laurent (2018) How to calculate the barycenter of a weighted graph. Mathematics of Operations Research, 43 (4). pp. 1051-1404.

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.

Ysebaert, Loic, Cadot, Sarah, Kanoun, Salim, Ken, Soleakhena, Recher, Christian, Malgouyres, François, Gadat, Sébastien, Dupré, Loïc and Quillet Mary, Anne (2017) Computational Integration to Model Tumor Dynamics in CLL Patients Treated with the Btk Inhibitor Ibrutinib (CompuTreatCLL): First Results of an Integrative Systems Biology Approach. Blood, 130 (1).

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, Klein, Thierry and Marteau, Clément (2016) Classification with the nearest neighbor rule in general finite dimensional spaces. Annals of Statistics, 44 (3). pp. 982-1009.

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).

Chopin, Nicolas, Gadat, Sébastien, Guedj, Benjamin, Guyader, Arnaud and Vernet, Elodie (2015) On some recent advances in high dimensional Bayesian Statistics. Esaim Proceedings and Surveys, 51. pp. 293-319.

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).

Champion, Magali, Cierco, Christine, Gadat, Sébastien and Vignes, Matthieu (2014) Sparse regression and support recovery with L2-Boosting algorithms. Journal of Statistical Planning and Inference, 155. pp. 19-41.

Christophe, Claire, Rodrigues, Magda, Müller, Sabina, Dupre, 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

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.

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, Klein, Thierry and Marteau, Clément (2013) Intensity estimation of nonhomogeneous poisson processes from shifted trajectories. Electronic Journal of Statistics, 7. pp. 881-931.

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.

Cohen, S., Déjéan, Sébastien and Gadat, Sébastien (2012) Adaptive sequential design for regression on multiresolution bases. Statistics and Computing, 22 (2). pp. 753-772.

Bigot, Jérémie, Claire, Christophe and Gadat, Sébastien (2012) Random action of compact lie groups and minimax estimation of a mean pattern. IEEE Transactions on Information Theory, 58. pp. 3509-3520.

Gadat, Sébastien and Miclo, Laurent (2012) Spectral decompositions and l2-operator norms of toy hypocoercive models. Kinetic and Related Models, 6. pp. 317-372.

Dkaki, T., Gadat, Sébastien, Inglebert, J. M., Truong, Q. D. and Villa-Vialaneix, Nathalie (2011) Recherche et représentation de communautés dans un grand graphe : une approche combinée. Document Numérique, 14. pp. 59-80.

Bigot, Jérémie and Gadat, Sébastien (2010) Pattern recognition through large deformations of images. In: Pattern Recognition Intech. ISBN 978-953-7619-X-X

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

Bigot, Jérémie and Gadat, Sébastien (2010) Smoothing under diffeomorphic constraints with homeomorphic splines. SIAM Journal On Numerical Analysis, 48 (1). pp. 224-243.

Bigot, Jérémie and Gadat, Sébastien (2010) A deconvolution approach to estimation of a common shape in a shifted curves model. Annals of Statistics, 38 (4). pp. 2422-2464.