MCMC and diffusions techniques
London, United Kingdom, June 2016
Sampling from a strongly log-concave distribution with the Unadjusted Langevin Algorithm
Stochastic Models Seminar, Helsinki University, February 2017
Optimal scaling and convergence of Markov chain Monte Carlo methods (slides)
Statistics seminar, l'Institut de mathématiques de Marseille, Janvier 2017
Efficient sampling from log-concave distributions over high-dimensional spaces
Machine learning seminar, Institut de Mathématiques de Toulouse, Janvier 2017
Efficient sampling from log-concave distributions over high-dimensional spaces
LAMSADE seminar, Université Paris Dauphine, Novembre 2016
Efficient sampling from log-concave distributions over high-dimensional spaces
L2S seminar, Ecole CentraleSupelec, Novembre 2016
Efficient sampling from log-concave distributions over high-dimensional spaces
Statistics seminar, l'ENSAI, Novembre 2016
Efficient sampling from log-concave distributions over high-dimensional spaces
Numerical analysis seminar, Ecole des Ponts ParisTech, Novembre 2016
Efficient sampling from log-concave distributions over high-dimensional spaces
INRIA MODAL seminar, Lille, Septembre 2016
Efficient sampling from log-concave distributions over high-dimensional spaces
CERMICS Phd seminar (Ecole des Ponts ParisTech), February 2016
Efficient sampling from log-concave distributions over high-dimensional spaces
Statistics seminar, Bristol university, May 2015
Subgeometric ergodicity of Markov Chain in Wasserstein distance
Stochastic Modeling Seminar, Helsinki University, May 2015
New Langevin-based Metropolis algorithm (slides)
LSTA Phd seminar, UPMC, February 2015
New Langevin-based Metropolis algorithm
Bayes in Paris, ENSAE, February 2015
New Langevin-based Metropolis algorithm
Numerical analysis seminar, Université de Genève, October 2014
Geometric ergodicity in Wasserstein distance (slides)