I am a PhD student in Applied Mathematics under the joint supervision of Eric Moulines, and Alain Durmus, professors at the CMAP laboratory, Ecole Polytechnique.
2019-: PhD in Applied Mathematics: Stochastic algorithms for learning and optimization on Riemannian manifolds, at CMAP - Ecole Polytechnique.Apr-Sep
2019: Internship and Master
Thesis at CMLA laboratory, under the
direction of Alain Durmus, on optimal
scaling of MCMC algorithms.
2018-2019: Master of Science in Mathematics and applications: Probabiality and Statistics, Université Paris-Sud, Orsay.I'm working on algorithms for optimization and learning on Riemannian manifolds. I am interested in the convergence analysis of these algorithms, as well as their applications in ML problems. Another topic of interest is optimal scaling of MCMC algorithms.
Jan 2020: Poster on optimal scaling of MALA with Laplace target, presented at Bayes Comp 2020.
Dec 2019: Presentation for GTTI at ENS Paris-Saclay, on the optimal scaling of MALA with Laplace target. It also contains a brief introduction to Bayesian neural networks.Sep 2019: Presentation of my master thesis at Université Paris-Sud, on the optimal scaling of MALA with Laplace target. It is in french.
2022-2023:
Assistant professor
(ATER) at Sorbonne
Université. Here is a
little document I have
done for my first year
students (in french).
2019-2022:
Organizer and
teacher of
"Probabilités
et
Statistiques"
for master
students, ENS
Paris-Saclay,
M2 FESUP
(Préparation
à
l'agrégation).
CMAP
Ecole Polytechnique
Route de Saclay
91128 Palaiseau
pablo.jimenez-moreno at polytechnique.edu