
A stochastic GaussNewton algorithm for regularized semidiscrete optimal transport
We introduce a new second order stochastic algorithm to estimate the ent...
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Asymptotic study of stochastic adaptive algorithm in nonconvex landscape
This paper studies some asymptotic properties of adaptive algorithms wid...
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On the cost of Bayesian posterior mean strategy for logconcave models
In this paper, we investigate the problem of computing Bayesian estimato...
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Non asymptotic controls on a recursive superquantile approximation
In this work, we study a new recursive stochastic algorithm for the join...
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Stochastic approximation algorithms for superquantiles estimation
This paper is devoted to two different twotimescale stochastic approxi...
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Sparse Regularization for Mixture Problems
This paper investigates the statistical estimation of a discrete mixing ...
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Optimal functional supervised classification with separation condition
We consider the binary supervised classification problem with the Gaussi...
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Cytometry inference through adaptive atomic deconvolution
In this paper we consider a statistical estimation problem known as atom...
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Stochastic Heavy Ball
This paper deals with a natural stochastic optimization procedure derive...
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Regret bounds for NarendraShapiro bandit algorithms
NarendraShapiro (NS) algorithms are bandittype algorithms that have be...
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Classification with the nearest neighbor rule in general finite dimensional spaces: necessary and sufficient conditions
Given an nsample of random vectors (X_i,Y_i)_1 ≤ i ≤ n whose joint law ...
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Sébastien Gadat
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