Low-rank modeling
Convex Relaxation and Estimation of High-Dimensional Matrices
Introduction to Machine Learning
High-Dimensional Statistics
Mining tensor data
Multi-Task Learning via Matrix Regularization
Matrix Completion via Convex Optimization: Theory and Algorithms
Optimization in Learning and Data Analysis
Sparse Methods for Machine Learning: Theory and Algorithms
Statistical Leverage and Improved Matrix Algorithms