Louis Faury

Louis Faury

Machine Learning Researcher

Criteo

Biography

I am a researcher at Criteo, focusing on bandit algorithms and reinforcement learning.

I received my PhD in 2021; I was lucky to be supervised by Olivier Fercoq and Marc Abeille. Recently, I mainly worked on understanding how to learn from structured bandit feedback in non-linear (and non-stationary) environments.

Download my resumé.

Interests
  • Bandit Algorithms
  • Reinforcement Learning
  • Machine Learning
Education
  • PhD in Machine Learning, 2021

    Télécom Paris

  • MSc in Artificial Intelligence, 2016-2018

    Ecole Polytechnique Fédérale de Lausanne (EPFL)

  • MSc in Applied Mathematics, 2013-2018

    Ecole Polytechnique

Experience

 
 
 
 
 
Criteo
Machine Learning Researcher
Mar 2018 – Present Paris
  • Research on bandit algorithms and reinforcement learning. Focus on the design of new algorithms with strong theoretical guarantees.
  • Internal consulting for engineering teams on production projects.
 
 
 
 
 
Criteo
Research Intern
Sep 2017 – Mar 2018 Paris

Development of a deep reinforcement learning approach for learning hyper-parameter free optimizers for ML tasks.

🌟 Received maximal mark from EPFL.

 
 
 
 
 
Exotec
Research Intern & AI Consultant
Mar 2016 – Sep 2017 Paris
  • Development of algorithms for the synchronization of mobile robot fleets in warehouses.
  • Design, development and implementation of robust and embedded control algorithms for wheeled robots.

🌟 Rewarded as best internship for industrial use by the Prix de la Fondation de l’École Polytechnique.

Code

Logistic Bandits
Experimenting around Logistic Bandits.
GNNES-2
Improving Evolutionary Strategies with Generative Neural Networks
GNNES
Generative Neural Networks for Differentiable ES