553 citations · 660 across the 5 of their papers we have counts for
5 papers · 1 filter
Sparse Trace Norm Regularization
Jianhui Chen, Jieping Ye
We study the problem of estimating multiple predictive functions from a dictionary of basis functions in the nonparametric regression setting. Our estimation scheme assumes that ea…
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Jun Liu, Shuiwang Ji, Jieping Ye
The problem of joint feature selection across a group of related tasks has applications in many areas including biomedical informatics and computer vision. We consider the l2,1-nor…
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang, Xiaotong Shen, Jieping Ye
Sparse feature selection has been demonstrated to be effective in handling high-dimensional data. While promising, most of the existing works use convex methods, which may be subop…
Efficient L1/Lq Norm Regularization
Jun Liu, Jieping Ye
Sparse learning has recently received increasing attention in many areas including machine learning, statistics, and applied mathematics. The mixed-norm regularization based on the…
Fast Overlapping Group Lasso
Jun Liu, Jieping Ye
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability…