The conference brings together leading researchers to discuss recent advances in statistical learning beyond classical assumptions such as independence, identical distributions, and low-dimensional Euclidean structures. The emphasis will be on asymptotic and non-asymptotic theory, optimization methods, and applications to complex real-world problems.

Participation is by invitation only. It will be limited to approximately 30 experienced researchers who will give presentations, while the total number of participants will be limited to 50 people. The format is designed to allow for longer presentations and ample time for discussion, encouraging in-depth scientific exchange.

This conference is fully funded by the French government under the France 2030 investment plan, as part of the Initiative d'Excellence d'Aix-Marseille Université - Amidex, grant no. AMX-22-CEX-057, awarded to Prof. Anna Dudek.