Luca Saglietti 41 21 693 52 85

Administrative data

Teaching & PhD


Statistical physics for optimization & learning

This course covers the statistical physics approach to computer science problems ranging from graph theory and constraint satisfaction to inference and machine learning. In particular the replica and cavity methods, message passings algorithms, and analysis of the related phase transitions.