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Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions
Crespo Navas, Marelys; Gadat, Sébastien; Gendre, Xavier - 2023
Persistent link: https://www.econbiz.de/10013486257
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Parsimonious Wasserstein text-mining
Gadat, Sébastien; Villeneuve, Stéphane - 2023
Persistent link: https://www.econbiz.de/10014364159
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FastPart: over-parameterized stochastic gradient descent for sparse optimisation on measures
Castro, Yohann de; Gadat, Sébastien; Marteau, Clément - 2023 - Version as of December 9, 2023
Persistent link: https://www.econbiz.de/10014439405
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Portfolio optimization under CV@R constraint with stochastic mirror descent
Gadat, Sébastien; Costa, Manon; Huang, Lorick - 2022
Persistent link: https://www.econbiz.de/10013263291
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Stochastic approximation algorithms for superquantiles estimation
Bercu, Bernard; Costa, Manon; Gadat, Sébastien - 2020
Persistent link: https://www.econbiz.de/10012286349
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How to calculate the barycenter of a weighted graph
Gadat, Sébastien; Gavra, Ioana; Risser, Laurent - 2016
Persistent link: https://www.econbiz.de/10012216712
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Parameter recovery in two-component contamination mixtures : the L2 strategy
Gadat, Sébastien; Kahn, Jonas; Marteau, Clément; … - 2016
Persistent link: https://www.econbiz.de/10012216724
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Non asymptotic controls on a stochastic algorithm for superquantile approximation
Costa, Manon; Gadat, Sébastien - 2020
Persistent link: https://www.econbiz.de/10012316959
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On the cost of Bayesian posterior mean strategy for logconcave models
Gadat, Sébastien; Panloup, Fabien; Pellegrini, Clément - 2020
Persistent link: https://www.econbiz.de/10012316967
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Optimal non-asymptotic bound of the Ruppert-Polyak averaging without strong convexity
Gadat, Sébastien; Panloup, Fabien - 2017
Persistent link: https://www.econbiz.de/10012266555