activity
20082024
most citedCurvature, concentration and error estimates for Markov chain Monte Carlo

89 citations · 197 across the 11 of their papers we have counts for

collaborators

13 papers

math.PR2024

On one dimensional weighted Poincare inequalities for Global Sensitivity Analysis

David Heredia, Aldéric Joulin, Olivier Roustant

One-dimensional Poincare inequalities are used in Global Sensitivity Analysis (GSA) to provide derivative-based upper bounds and approximations of Sobol indices. We add new perspec…

math.FA2023

A note on the spectral gap for log-concave probability measures on convex bodies

Michel Bonnefont, Aldéric Joulin

In this paper, we provide explicit lower bounds with respect to some quantities of interest (parameters of the underlying distribution, dimension, geometrical characteristics of th…

math.PR2019

A note on eigenvalues estimates for one-dimensional diffusion operators

Michel Bonnefont, Aldéric Joulin

Dealing with one-dimensional diffusion operators, we obtain upper and lower variational formulae on the eigenvalues given by the max-min principle, generalizing the celebrated resu…

math.PR2017

Intertwinings, second-order Brascamp-Lieb inequalities and spectral estimates

Michel Bonnefont, Aldéric Joulin

We explore the consequences of the so-called intertwinings between gradients and Markov diffusion operators on in terms of second-order Brascamp-Lieb inequalities for log-con…

math.PR2016

Intertwinings and Generalized Brascamp-Lieb Inequalities

Marc Arnaudon, Michel Bonnefont, Aldéric Joulin

We continue our investigation of the intertwining relations for Markov semigroups and extend the results of [9] to multi-dimensional diffusions. In particular these formulae entail…

math.PR2014

A note on spectral gap and weighted Poincaré inequalities for some one-dimensional diffusions

Michel Bonnefont, Aldéric Joulin, Yutao Ma

We present some classical and weighted Poincaré inequalities for some one-dimensional probability measures. This work is the one-dimensional counterpart of a recent study achieved…