ACM - Normas
Jun Liu
Jieping Ye
Proceedings of the 26th Annual International Conference on Machine Learning - ICML ’09
Iterative loss minimization with l 1-norm constraint and guarantees on sparsity (Technical Report)
Theory algorithms, and applications
Feature selection \$l_1\$ vs. \$l_2\$ Regularization and Rotational Invariance
A Basic Course
Efficient methods in convex programming
Efficient projections onto thel1-ball for learning in high dimensions
Learning incoherent sparse and low-rank patterns from multiple tasks
Large-scale sparse logistic regression
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks