These are notes from the ICTP-INdAM-SLMath Summer Graduate School for Machine Learning in Trieste, Italy (2026). The goal of the school is to provide up-to-date concepts and tools from statistics and statistical physics for current questions in machine learning theory.
The speakers are:
Andrea Montanari, “Rigorous approaches to modern machine learning”
Francesca Mignacco, “Statistical physics approach to high-dimensional learning problems”