EE364b: Lecture Slides and NotesThese slides and notes will change and get updated throughout the quarter. Please check this page frequently. Unlike EE364a, where the lectures proceed linearly, the lectures for EE364b fall into natural groups, and there is much more freedom as to the order in which they are covered. We are unlikely to cover all of these topics in lecture. Subgradient methods Localization methods Decomposition and distributed optimization Proximal and operator splitting methods Self-concordance and Interior Point Method Conjugate gradients Nonconvex problems Neural networks Monte Carlo sampling methods Additional lecture notes |