Associate Professor at ENSAI, member of the CREST
Head of the Master for Smart Data science
Associate editor for the Electronic Journal of Statistics
Associate editor for the journal Statistics and Computing
I did my PhD thesis in Rennes at IRMAR (with Bernard Delyon). I was a PostDoc at UCLouvain from 2013 to 2016 (with Johan Segers and Ingrid van Keilegom). Next I was an Assistant professor at Télécom Paris till 2021.
Statistical learning
Nonparametric statistics
Monte Carlo methods
Recent preprints:
A uniform relative deviation inequality for VC-subgraph classes. PDF
Revisiting local regression: shape regularity, uniform rates, and the limits of random splits With Jérémy Bettinger, Adrien Saumard. PDF
Stochastic mirror descent for nonparametric adaptive importance sampling. PDF With Pascal Bianchi, Bernard Delyon and Victor Priser. I presented this work at STD25 in November 2025. Here are the slides.
Local logistic regression for dimension reduction in classification. PDF With Touqeer Ahmad and Gilles Stupfler
Recent papers:
Riemannian stochastic optimization for sufficient dimension reduction, with Thibault Pautrel (former student of the Master for Smart Data science). ICML26. PDF
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling PDF With Touqeer Ahmad, Mohammadreza M. Kalan, François Portier, Gilles Stupfler. Accepted in Neurips25. I presented this work at ICSDS25 in December. Here are the slides.
Contact
francois.portier_gmail_com
ENSAI, Campus de Ker Lann, Office: 253