Lecture 23: Semidefinite Optimization I
Convex Analysis and Optimization
Lecture 19: Interior-Point Methods (Cont.)
Introduction to convex programming, interior point methods, and semi-definite programming
Matrix Computations in Machine Learning
Behavior of Algorithms
Primal-Dual Subgradient Methods for Huge-Scale Problems
Algebraic Techniques and Semidefinite Optimization
Convex Optimization
Lecture 2: Guest Lecturer: Jacob Mattingley