Optimization in Machine Learning: Recent Developments and Current Challenges
Lecture 8: Lagrangian
Optimization Algorithms in Support Vector Machines
Lecture 19: Interior-Point Methods (Cont.)
Principles of Digital Communication II
Introduction to Kernel Methods
Convex Optimization
Algorithmic Aspects of Machine Learning
Lecture 18: Duality Theory I
Machine Learning Markets