Lecture 19: Interior-Point Methods (Cont.)
Lecture 7: Example: Piecewise Linear Minimization
Lecture 1: Course Logistics
Convex Optimization
Optimization in Machine Learning: Recent Developments and Current Challenges
Optimization Algorithms in Support Vector Machines
Lecture 8: Lagrangian
Lecture 16: Model Predictive Control
Lecture 14: Methods (Truncated Newton Method)
New Quasi-Newton Methods for Efficient Large-Scale Machine Learning