126 citations · 215 across the 5 of their papers we have counts for
5 papers
Generalization Bounds for Domain Adaptation
Chao Zhang, Lei Zhang, Jieping Ye
In this paper, we provide a new framework to obtain the generalization bounds of the learning process for domain adaptation, and then apply the derived bounds to analyze the asympt…
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…
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…