387 citations · 1.1k across the 35 of their papers we have counts for
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stat.ML2020
Robust Finite Mixture Regression for Heterogeneous Targets
Jian Liang, Kun Chen, Ming Lin +2
Finite Mixture Regression (FMR) refers to the mixture modeling scheme which learns multiple regression models from the training data set. Each of them is in charge of a subset. FMR…
stat.ML2018
Model-Protected Multi-Task Learning
Jian Liang, Ziqi Liu, Jiayu Zhou +3
Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In contrast, in single-task learning (STL) each individual task is learned independent…
stat.ML2012★ 126 cited
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…