4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 4 cited
Near-Optimal Linear Regression under Distribution Shift
Qi Lei, Wei Hu, Jason D. Lee
Transfer learning is essential when sufficient data comes from the source domain, with scarce labeled data from the target domain. We develop estimators that achieve minimax linear…
stat.ME2019★ 1 cited
Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis
Wei Hu, Tianyu Pan, Dehan Kong +1
With the rapid growth of neuroimaging technologies, a great effort has been dedicated recently to investigate the dynamic changes in brain activity. Examples include time course ca…
stat.ME2018
Matrix Linear Discriminant Analysis
Wei Hu, Weining Shen, Hua Zhou +1
We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the e…