Lectures on
"High-Dimensional Data Analysis"
21-22 october 2021


The analysis of high-dimensional data sets is now ubiquitous in many applications and blends tools from probability theory, machine learning, geometry, graph theory, statistics and optimization. The objective of this two-day event is to gather researchers from different backgrounds to explore recent advances in this field and to stimulate discussions. Special attention will be given to young researchers who are encouraged to participate with an introductory lecture on the first day and dedicated funding for their travel and accommodation.


Registration is free but mandatory. Please fill the form here.


Frumam, St Charles
Aix-Marseille Université
3, place Victor Hugo - MARSEILLE Cedex 03


The program is available here.

Briefly :

Thursday, October 21
9h00-17h30 Introductory lecture on ``Measure concentration and statistics in high-dimension: an introduction'' by Aurélien Garivier (ENS Lyon).

Friday, October 22
9h30-17h00 Research talks

Confirmed speakers

Elsa Cazelles (CNRS IRIT, Toulouse)
Lénaïc Chizat (CNRS, Orsay)
Agnès Desolneux (CNRS Centre Borelli, Paris)
Aurélien Garivier (ENS Lyon)
Nicolas Keriven (CNRS GIPSA, Grenoble)
Olga Mula (CEREMADE, Paris)
Geneviève Robin (LaMME, ́Evry)
François-Xavier Vialard (LIGM, Marne-la-Vallée).