Stephane Chretien
Position
Dean of the ASSP faculty of the University of Lyon 2
Full professor in statistics and machine learning at the University of Lyon 2,
Member of Laboratoire ERIC, Lyon, France
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
Address
ERIC Laboratory and UFR ASSP
University of Lyon 2
5 avenue Mendes France
69676 Bron Cedex
Office: 073, Bât: K and 310, Bât: H
email: stephane.chretien@univ-lyon2.fr
Memberships
Member of the French Statistical Society (SFdS)
"Tresorier" of the MALIA subgroup of the SFdS
Member of IMA
Scientific member of VERSO-Optim
news !
Conference on Complex Systems, In person and online October 25-29, Lyon, France.
Federated Learning Spring School, Online September 16 2021, co-organised by SFdS and Owkin.
New paper with Mihai Cucuringu, Guillaume Lecué and Lucie Neyrac accepted at JMLR: "Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature ".
New paper accepted at LOD 2021 conference: "A Sobolev space viewpoint on the benign overfitting phenomenon for fully connected Deep Nets" with Emmanuel Caron.
New paper accepted at ESANN 2021 conference "Benign overfitting of fully connected Deep Nets:A Sobolev space viewpoint" with Emmanuel Caron.
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: stephane.chretien@univ-fcomte.fr
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 organisation 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
Teaching: Statistics and Machine Learning, Data analytics, Optimisation, R, ...
More information and lecture notes: Enseignement
Students:
Mohamed Assoweh - defended 13-07-2021.
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