Modern algorithms and analysis techniques for high-dimensional optimization and sampling; problems motivated from models in statistical physics, machine learning and random instances of combinatorial optimization problems; techniques from convex analysis, random matrix theory, spin glass theory and stochastic calculus.
Instructors
