3 papers
stat.ME2025
Do more observations bring more information in rare events?
Danyang Huang, Liyuan Wang, Liping Zhu
It is generally believed that more observations provide more information. However, we observe that in the independence test for rare events, the power of the test is, surprisingly,…
cs.LG2025
Transfer Learning Under High-Dimensional Network Convolutional Regression Model
Liyuan Wang, Jiachen Chen, Kathryn L. Lunetta +3
Transfer learning enhances model performance by utilizing knowledge from related domains, particularly when labeled data is scarce. While existing research addresses transfer learn…
stat.ML2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Jiachen Chen, Danyang Huang, Liyuan Wang +3
Node classification is a fundamental task, but obtaining node classification labels can be challenging and expensive in many real-world scenarios. Transfer learning has emerged as…