ICTP Summer School on Mathematics for Machine Learning (Trieste, 15–26 June 2026)

This summer school offers an introduction to modern theoretical ideas developed to explain machine-learning algorithms and to clarify their domains of applicability. The emphasis will be on proof techniques and broadly useful mathematical tools. The lectures will be delivered by two internationally recognized experts. By the end of the school, participants should have an up-to-date view of the key conceptual and technical toolbox—drawing from statistics and statistical physics— needed to engage with current questions in the theory of machine learning