Teaching

From Basic Machine Learning models to Advanced Kernel Learning, Master 2, Université Grenoble Alpes.
Sequential learning, Master 2 MVA, Ecole Normale Supérieure Paris-Saclay.
Online learning part of the course “Mathematical foundations of machine learning”, Master MOSIG and MSIAM, Master 2, Université Grenoble Alpes.
Online Convex Optimization, Master 2, Sorbonne Université.

Intelligent Systems, Master 1, Université Grenoble Alpes.
From Basic Machine Learning models to Advanced Kernel Learning, Master 2, Université Grenoble Alpes.
Sequential learning, Master 2 MVA, Ecole Normale Supérieure Paris-Saclay.

Prediction of Individual sequences, Master 2 MVA, Ecole Normale Supérieure Paris-Saclay.
Introduction to machine learning, Licence L3, Ecole Normale Superieure (Paris), co-taught with Alessandro Rudi and Raphaël Berthier.
Advanced machine learning (IA318), Telecom ParisTech, co-taught with Thomas Bonald, Claire Vernade, Adrien Taylor, and Alessandro Rudi.
- Adversarial Bandits
- Statistics in high dimension

Introduction to machine learning, Licence L3, Ecole Normale Superieure (Paris), co-taught with Alessandro Rudi and Raphaël Berthier.
Prediction of Individual sequences, Master 2 MVA, Ecole Normale Supérieure Paris-Saclay.
Introduction to machine learning, Master M1, Ecole Normale Superieure (Paris), co-taught with Francis Bach and Aude Genevay.

Introduction to machine learning, Master M1, Ecole Normale Superieure (Paris), co-taught with Francis Bach and Aude Genevay.
Prediction of Individual sequences, Master 2 MVA, Ecole Normale Supérieure Paris-Saclay, co-taught with Vianney Perchet.

Exercise sessions in probability and statistics for third-year engineering students, Polytech Paris-Sud.
Lectures and exercise sessions in probability for L3 engineering students, MFA programme, Université Paris-Sud.
Lab sessions in statistics, Master 1 in biostatistics, Université Paris-Sud.
Random forests, 18 November 2014. Guest lecture, Master 2 in Mathematical Engineering, Université Paris-Sud.

Lab sessions in probability (Scilab), MFA programme, Université Paris-Sud.
Lectures and exercise sessions in probability for L3 engineering students, MFA programme, Université Paris-Sud.
Lab sessions in statistics, Master 1 in biostatistics, Université Paris-Sud.
Guest lectures, Master 2 in Mathematical Engineering, Université Paris-Sud.
- Random forests, 7 January 2014.
  - Slides
  - Code R
- Individual sequences, 21 January 2014.
  - Slides
  - Code R

Lab sessions in probability (Matlab), MFA programme, Université Paris-Sud.
Lab sessions in statistics, Master 1 in biostatistics, Université Paris-Sud.
Guest lectures, Master 2 in Mathematical Engineering, Université Paris-Sud.
- Random forests, 8 January 2013. Individual sequences, 22 January 2013.
Supervision of first-year undergraduate students on professional projects.