Stephane Chretien


Full professor in statistics and machine learning at the University Lyon 2,

Member of Laboratoire ERIC, Lyon, France

Visiting researcher at the National Physical Laboratory, Teddington, UK

Visiting researcher Mathematical Institute, University of Oxford, UK

Visiting researcher at the Alan Turing Institute, London, UK

Visiting researcher at Institut FEMTO-ST, Besancon, France



ERIC Laboratory and UFR ASSP

University of Lyon 2

5 avenue Mendes France

69676 Bron Cedex

Office: 073, Bât: K and 310, Bât: H



Member of the French Statistical Society (SFdS)

"Tresorier" of the MALIA subgroup of the SFdS

Member of IMA

Scientific member of VERSO-Optim

news !

Federated Learning Spring School, Online March 23 2021, co-organised by SFdS and Owkin.

Master class at the University of Lancaster : Data Science using Semi-Definite Programming: Clustering, Synchronisation, Registration

New paper with E. Caron: A finite sample analysis of the benign overfitting phenomenon for ridge function estimation.

Federated Learning Winter School, Online November 24 2020, co-organised by SFdS and Owkin.

Recent Advances in Numerical and Statistical Machine Learning in Lyon April 2-3 2020. Registration (free) by email:

Talk at LMS Symposium on Mathematics of Machine Learning, University of Bath, August 3-8 2020. Slides.

Talk at CM-Statistics 2019 UC-London in the session "Robust machine learning" (EO050 )

Talk at CFE 2019 UC-London in the session "Robust time series models in the time and frequency domains for high dimensional data" (CO386)

Speaking at INRIA Lille (Modal team seminar) on Tuesday December 4, 2019. (New results on Robust PCA).

Speaking at AIGM day (INRA Toulouse) on Thursday December 5, 2019. (New results on clustering with Semi-Definite Programming).

Member of scientific committee of JDS 2020

Colloquium talk Surrey University

Talk at the JdS 2019

Talk at Sampta 2019

Talk at the 5th Workshop on Dynamical Systems and Brain-inspired Information Processing: July 29-31, 2019

Research: Computational Statistics, Machine Learning, Sparsity, Big Data and Optimization

Publications and preprints

Teaching: Statistics and Machine Learning, Data analytics, Optimisation, R, ...

More information and lecture notes: Enseignement


Mohamed Assoweh - ongoing

Serge Moulin (co-supervised with Christophe Guyeux) - defended 12-12-2018

Zhen-Wai Olivier Ho (co-supervised with Clement Dombry) - defended 04-10-2018

Adrien Faivre (co-supervised first year with Clement Dombry) - defended 14-12-2017

Basad Al Sarray - defended 2016.

A very helpfull compendium of inequalities can be found here