Statlearn 2026, April 01-03, Grenoble France

[simon.b...@gmail.com]

Dear colleagues,

We have the pleasure to announce that the 13th StatLearn workshop will take place from April 1 to 3, 2026, in Grenoble (St-Martin-d’Hères campus, France).

This workshop is an event of the French Statistical Society (SFdS), and will focus on recent developments in statistical machine learning. The program is built around a tutorial and four plenary sessions featuring invited speakers. Registration is free but mandatory, and must be completed before February 27 on the event’s website : https://statlearn.sciencesconf.org/

A poster session will be organized, together with a cocktail, on April 1. Participants willing to present a poster should provide a title and abstract when completing the registration form.

The program is the following:

April 1, morning: Tutorial on diffusion models

• Gabriel Victorino Cardoso (École des Mines/PSL University)

April 1, afternoon: Session 1 – Causality

• Julie Josse (Inria Université Côte d’Azur)
• Krikamol Muandet (CISPA, Saarbrucken)
• Alexander Reisach (MAP5)

April 1, evening: poster session and cocktail

April 2, morning: Session 2 – Generative Models

• Stéphane Girard (Inria Grenoble)
• Eric Vanden-Eijnden (Courant Institute of Mathematical Sciences, NYU)
• Constance Douwes (Centrale Méditerranée/LIS)

April 2, afternoon: Session 3 – Nonconvex optimization

• Nelly Pustelnik (CNRS, ENS Lyon)
• Nicolas Boumal (EPFL)
• Le Quoc Tung (UGA/LJK)

April 3, morning: Session 4 – Sequential and reinforcement learning

• Émilie Kaufman (CNRS/CRIStAL, Lille)
• Chloé Rouyer (Postdam University/DeLTA Lab)
• Michal Valko (Stealth Startup, London)

We are looking forward to see you in Grenoble on April 1-3, 2026.
The organizers