Yoan Russac

PhD Student in Machine Learning

Ecole Normale Supérieure


I am a final year PhD student in Machine Learning at Ecole Normale Supérieure in the Center for Sciences of Data where I am lucky to be supervised by Olivier Cappé and Aurélien Garivier. My research interests include sequential learning with partial information feedback and more precisely bandits models. The main objective of my research is to improve decision-making in uncertain and dynamic environments. In particular, I have worked on passively forgetting strategies that are well-suited for non-stationary environments and non-parametric algorithms.


  • Bandits
  • Machine Learning
  • Reinforcement Learning


  • PhD in Machine Learning, 2018-2021 (expected)

    Ecole Normale Supérieure

  • MVA Master Degree, 2017-2018

    ENS-Paris Saclay

  • MSc in Statistics and Data Science, 2015-2018

    ENSAE- Institut Polytechnique de Paris



Machine Learning Engineer Intern


Jun 2021 – Aug 2021 London, UK

Applied Scientist Intern


Jun 2018 – Nov 2018 Berlin, Germany
Research on non-stationarity and bandits.

Machine Learning Researcher Intern


Jun 2017 – Sep 2017 Brussels, Belgium
Research on fraud detection using Word2Vec embeddings.

Recent & Upcoming Talks

Introduction to Linear Bandits

An introduction to Bandits and Linear Bandits

Non-Stationary Linear Bandits

In this talk a new deviation bound to control the weighted least-squares estimator in a Linear Bandit model is discussed.


  • 45 rue d'Ulm, Paris, 75005, France