Pablo Jiménez

PhD Student - Ecole Polytechnique

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I am a PhD student in Applied Mathematics under the joint supervision of Eric Moulines, professor at the CMAP laboratory, Ecole Polytechnique, and Alain Durmus, associate professor at the CMLA laboratory, ENS Paris-Saclay.

Background

  • 2019-: PhD in Applied Mathematics: Stochastic algorithms for learning and optimization on Riemannian manifolds, at CMAP - Ecole Polytechnique
  • April-September 2019: Internship at CMLA laboratory, under the direction of Alain Durmus, about optimal scaling of MCMC algorithms
  • 2018-2019: Master of Science in Mathematics and applications: Probabiality and Statistics, Université Paris-Sud, Orsay
  • 2017-2018: Master of Science in Mathematics teaching, ENS Paris-Saclay, Cachan
  • 2015-2017: Bachelor and first year of Master of Science in Mathematics and applications, Université Paris-Sud, Orsay
  • 2013-2015: Undergraduate studies in Science, specially Mathematics and Physics (Classe préparatoire MP), Lycée Louis-le-Grand, Paris
You can find a detailed version of my résumé here.

Research


Research subject

I'm working on algorithms for optimization on Riemannian manifolds, and optimal scaling of MCMC algorithms.

There is a current trend in which statistical learning methods are used in conjunction with differential geometric techniques. One of the main ideas behind these models is to assume that the observations belongs to some Riemannian manifold.

Our main goal is to develop a coherent framework for:

You can check my presentation of my master's thesis here.

In this presentation you can find a brief introduction to Bayesian neural networks, and my work on MCMC in english.

Teaching


Contact


CMAP
Ecole Polytechnique
Route de Saclay
91128 Palaiseau
pablo.jimenez-moreno at polytechnique.edu

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