Optimization Algorithms in Support Vector Machines
Introduction to convex programming, interior point methods, and semi-definite programming
Mathematics of Machine Learning
Optimization in Machine Learning: Recent Developments and Current Challenges
High-Dimensional Statistics
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Convex Analysis and Optimization
Statistics for Applications
Advanced Statistical Learning Theory
Non Smooth, Non Finite, and Non Convex Optimization