Fabien Panloup | DeepAI

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Featured Co-authors

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∙ 09/16/2021

Multilevel-Langevin pathwise average for Gibbs approximation

We propose and study a new multilevel method for the numerical approxima...

0 Maxime Egea, et al. ∙

∙ 12/28/2020

Unajusted Langevin algorithm with multiplicative noise: Total variation and Wasserstein bounds

In this paper, we focus on non-asymptotic bounds related to the Euler sc...

0 Gilles Pagès, et al. ∙

∙ 11/12/2020

VARCLUST: clustering variables using dimensionality reduction

VARCLUST algorithm is proposed for clustering variables under the assump...

0 Piotr Sobczyk, et al. ∙

∙ 10/08/2020

On the cost of Bayesian posterior mean strategy for log-concave models

In this paper, we investigate the problem of computing Bayesian estimato...

0 Sébastien Gadat, et al. ∙

∙ 03/11/2020

Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion

We build and study a data-driven procedure for the estimation of the sta...

0 Karine Bertin, et al. ∙

∙ 03/26/2019

A General Drift Estimation Procedure For Stochastic Differential Equations With Additive Fractional Noise

In this paper we consider the drift estimation problem for a general dif...

0 Fabien Panloup, et al. ∙

∙ 09/14/2016

Stochastic Heavy Ball

This paper deals with a natural stochastic optimization procedure derive...

0 Sébastien Gadat, et al. ∙

∙ 02/17/2015

Regret bounds for Narendra-Shapiro bandit algorithms

Narendra-Shapiro (NS) algorithms are bandit-type algorithms that have be...

0 Sébastien Gadat, et al. ∙

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