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Sébastien Gadat
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2020 – today
- 2024
- [c2]Clément Lalanne, Sébastien Gadat:
Privately Learning Smooth Distributions on the Hypercube by Projections. ICML 2024 - 2023
- [i3]Marelys Crespo Navas, Sébastien Gadat, Xavier Gendre:
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions. CoRR abs/2301.03077 (2023) - 2022
- [j10]Sébastien Gadat, Ioana Gavra:
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape. J. Mach. Learn. Res. 23: 228:1-228:54 (2022) - 2020
- [i2]Sébastien Gadat, Ioana Gavra:
Asymptotic study of stochastic adaptive algorithm in non-convex landscape. CoRR abs/2012.05640 (2020)
2010 – 2019
- 2019
- [i1]Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis-Rabusseau:
Sparse Regularization for Mixture Problems. CoRR abs/1907.10592 (2019) - 2018
- [j9]Sébastien Gadat, Ioana Gavra, Laurent Risser:
How to Calculate the Barycenter of a Weighted Graph. Math. Oper. Res. 43(4): 1085-1118 (2018) - 2015
- [c1]Clément Bouttier, Olivier Babando, Sébastien Gadat, Sébastien Gerchinovitz, Serge Laporte, Florence Nicol:
Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization. OR 2015: 569-574 - 2012
- [j8]Serge Cohen, Sébastien Déjean, Sébastien Gadat:
Adaptive sequential design for regression on multi-resolution bases. Stat. Comput. 22(3): 753-772 (2012) - [j7]Jérémie Bigot, Claire Christophe, Sébastien Gadat:
Random Action of Compact Lie Groups and Minimax Estimation of a Mean Pattern. IEEE Trans. Inf. Theory 58(6): 3509-3520 (2012) - 2011
- [j6]Nathalie Villa-Vialaneix, Taoufiq Dkaki, Sébastien Gadat, Jean-Michel Inglebert, Quoc Dinh Truong:
Recherche et représentation de communautés dans un grand graphe. Une approche combinée. Document Numérique 14(1): 59-80 (2011) - 2010
- [j5]Jérémie Bigot, Sébastien Gadat:
Smoothing under Diffeomorphic Constraints with Homeomorphic Splines. SIAM J. Numer. Anal. 48(1): 224-243 (2010)
2000 – 2009
- 2009
- [j4]Kim-Anh Lê Cao, Agnès Bonnet, Sébastien Gadat:
Multiclass classification and gene selection with a stochastic algorithm. Comput. Stat. Data Anal. 53(10): 3601-3615 (2009) - [j3]Jérémie Bigot, Sébastien Gadat, Jean-Michel Loubes:
Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping. J. Math. Imaging Vis. 34(3): 270-290 (2009) - 2008
- [j2]Sébastien Gadat:
Jump Diffusion over Feature Space for Object Recognition. SIAM J. Control. Optim. 47(2): 904-935 (2008) - 2007
- [j1]Sébastien Gadat, Laurent Younes:
A Stochastic Algorithm for Feature Selection in Pattern Recognition. J. Mach. Learn. Res. 8: 509-547 (2007)
Coauthor Index
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