Introduction to convex programming, interior point methods, and semi-definite programming
LaRank, SGD-QN - Fast Optimizers for Linear SVM
Passive Learning with Target Risk
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
On Recent Trends in Extremely Large-Scale Convex Optimization
Lecture 13: Recap: Conjugate Gradient Method
Lecture 7: Generalized Inequality Constraints
Convex Optimization
Underactuated Robotics
Optimization in Learning and Data Analysis