Semidefinite programming
Convex Optimization
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Fastest Mixing Markov Chain on a Graph
SIAM Review
Foundations and Trends® in Machine Learning
Lieven Vandenberghe
Lin Xiao
Persi Diaconis
Variable Selection and Task Grouping for Multi-Task Learning
A Distributed Incremental Learning Method for Sparse Kernel Machine over Wireless Sensor Network
Learning incoherent sparse and low-rank patterns from multiple tasks
ADMM attack
Efficient multi-task feature learning with calibration
Robust Video Super-resolution Using Low-rank Matrix Completion