The class will cover statistical models and statistical learning problems involving discrete structures. It starts with an overview of basic random graphs and discrete probability results. It then covers topics such as reconstruction on trees, stochastic block models, and spectral graph theory.
- Professor: Emmanuel Abbé
- Professor: Raphaël Jean Berthier
- Professor: Zsolt Patakfalvi
- Teacher: Léo Navarro Chafloque
- Teacher: Emre Alp Özavci
- Teacher: Linus Erik Rösler
- Professor: Mats Julius Stensrud
- Teacher: Aaron Leor Sarvet
- Professor: Fabio Nobile
- Professor: Tommaso Vanzan