A Stochastic Algorithm for Feature Selection in Pattern Recognition. - Sébastien Gadat; Laurent Younes (J. Mach. Learn. Res., 2007)

Jump Diffusion over Feature Space for Object Recognition. - Sébastien Gadat (SIAM J. Control. Optim., 2008)

Multiclass classification and gene selection with a stochastic algorithm. - Kim-Anh Lê Cao; Agnès Bonnet; Sébastien Gadat (Comput. Stat. Data Anal., 2009)

Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping. - Jérémie Bigot; Sébastien Gadat; Jean-Michel Loubes (J. Math. Imaging Vis., 2009)

Smoothing under Diffeomorphic Constraints with Homeomorphic Splines. - Jérémie Bigot; Sébastien Gadat (SIAM J. Numer. Anal., 2010)

Recherche et représentation de communautés dans un grand graphe. Une approche combinée. - Nathalie Villa-Vialaneix; Taoufiq Dkaki; Sébastien Gadat; Jean-Michel Inglebert; Quoc Dinh Truong (Document Numérique, 2011)

Adaptive sequential design for regression on multi-resolution bases. - Serge Cohen 001; Sébastien Déjean; Sébastien Gadat (Stat. Comput., 2012)

Random Action of Compact Lie Groups and Minimax Estimation of a Mean Pattern. - Jérémie Bigot; Claire Christophe; Sébastien Gadat (IEEE Trans. Inf. Theory, 2012)

Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization. - Clément Bouttier; Olivier Babando; Sébastien Gadat; Sébastien Gerchinovitz; Serge Laporte; Florence Nicol (OR, 2015)

How to Calculate the Barycenter of a Weighted Graph. - Sébastien Gadat; Ioana Gavra; Laurent Risser (Math. Oper. Res., 2018)

Sparse Regularization for Mixture Problems. - Yohann de Castro; Sébastien Gadat; Clément Marteau; Cathy Maugis-Rabusseau (CoRR, 2019)

Asymptotic study of stochastic adaptive algorithm in non-convex landscape. - Sébastien Gadat; Ioana Gavra (CoRR, 2020)

Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape. - Sébastien Gadat; Ioana Gavra (J. Mach. Learn. Res., 2022)

Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions. - Marelys Crespo Navas; Sébastien Gadat; Xavier Gendre (CoRR, 2023)

Privately Learning Smooth Distributions on the Hypercube by Projections. - Clément Lalanne; Sébastien Gadat (ICML, 2024)