About Me

I am a DPhil student at the University of Oxford, in the Department of Statistics, part of Oxford Statistical Machine Learning Group, supervised by Pr Yee Whye Teh, and a member of Mansfield college. Previously, I was a graduate enrolled in the Mathematiques, Vision, Learning master at Ecole Normale Supérieure Paris-Saclay, with an emphasis on machine learning. I will graduate after the completion of my master's internship in August 2017. Prior to that, I worked for Criteo as a data scientist intern, where I improved predictive bidding models. I previously studied at Ecole des Ponts ParisTech in the mathematics and computer science department, where I spent two years. I did my classes préparatoires in Lycée Georges Clémenceau at Nantes.

News

Hamiltonian Monte Carlo

Riemannian Manifold Hamiltonian Monte Carlo

11/04/2017

I updated the works page so as to add the presentation on my Computational Statistics course project which is about RMHMC.

Guided policy search

Policy Search Review

17/01/2017

We have just presented our review on Policy Search, so I added the report and the presentation in the works page.

Factorial hidden markov models

Factorial hidden Markov model

10/01/2017

The works page has been updated to add my poster on factorial hidden Markov models.

Gaussian process bandits

Thompson Sampling for GP-Bandits

08/01/2017

I updated the works page to add the report, presentation and source code of my adaptation of Thompson Sampling for the Gaussian process bandit setting.

Research interests

My interests are centered on the fields of mathematics and computer science. I am most interested in machine learning sub-fields, especially reinforcement learning, Bayesian inference, graphical models and sampling methods. I am currently working on probabilistic programing. I also have a keen interest in surfing.

Curriculum vitae

My Résumé is available here.

Contact me

Email

emile.mathieu-at-stats.ox.ac.uk

Post

Department of Statistics
University of Oxford
24-29 St Giles
Oxford OX1 3LB, UK