Summary
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.
- Professor: Vittorio Erba
- Professor: Florent Krzakala
- Teacher: Hugo Chao Cui
- Teacher: Yatin Dandi
- Teacher: Emanuele Troiani
- Teacher: Yizhou Xu
