Multi-Task Learning via Matrix Regularization
Theory
Optimization in Machine Learning: Recent Developments and Current Challenges
Optimization Algorithms in Machine Learning
Multi-Task Learning and Matrix Regularization
Optimization in Learning and Data Analysis
Large-scale Machine Learning and Stochastic Algorithms
Learning using Many Examples
Hierarchical Classification via Orthogonal Transfer
Fast methods for sparse recovery: alternatives to L1