Lectures in course PHYS-642: Statistical physics for optimization & learning

Covers the basics of information theory and its applications in various fields.

Explores the Curie-Weiss model, spin glasses, and optimization problems in statistical physics.

Explores the Spike-Wigner model, low-rank matrix factorization, and Gaussian matrices.

Covers the replica method for computing expectations and the heuristic evaluation of expressions.