An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Fast methods for sparse recovery: alternatives to L1
Topics in Mathematics of Data Science
Compressive Sensing for Computer Vision: Hype vs Hope
Lecture 4: Project Subgradient For Dual Problem
Optimization in Learning and Data Analysis
High-Dimensional Statistics
Sparse Methods for Under-determined Inverse Problems
Regularization Paths and Coordinate Descent
Optimization Algorithms in Support Vector Machines