767 citations · 4.4k across the 70 of their papers we have counts for
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Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
Multi-task sparse feature learning aims to improve the generalization performance by exploiting the shared features among tasks. It has been successfully applied to many applicatio…
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…