Dear colleagues,
We have the pleasure to announce that the 13th
StatLearn workshop will take place from April 1 to 3, 2026, in Grenoble, France.
This workshop 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.
Program:
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 seeing you in Grenoble on April 1-3, 2026.
The organizers