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 – Krikamol Muandet (CISPA, Saarbrucken) – Julie Josse (Inria Université Côte d’Azur) – Alexander Reisach (MAP5) April 1, evening: poster session and cocktail April 2, morning: Session 2 – Generative Models – Eric Vanden-Eijnden (Courant Institute of Mathematical Sciences, NYU) – Stéphane Girard (Inria Grenoble) – Constance Douwes (Centrale Méditerranée/LIS) April 2, afternoon: Session 3 – Nonconvex optimization – Nicolas Boumal (EPFL) – Nelly Pustelnik (CNRS, ENS Lyon) – Le Quoc Tung (UGA/LJK) April 3, morning: Session 4 – Sequential and reinforcement learning – Michal Valko (Stealth Startup, London) – Émilie Kaufman (CNRS/CRIStAL, Lille) – Chloé Rouyer (Postdam University/DeLTA Lab)