3 papers
stat.ME2026
Beyond Source-Level Transfer: Sample-Level Learning for High-Dimensional Quantile Regression
Xiangyu Xing, Yingxuan Wang, Wangli Xu
This paper studies transfer learning for high-dimensional quantile regression with limited target samples and heterogeneous source domains. We propose a sample-level transfer learn…
stat.ME2026
SPARK: A General Goodness-of-Fit Assessment via Residual Projection
Xingwei Liu, Yuhong Yang, Wangli Xu
Goodness-of-fit testing is a basic tool for assessing whether a fitted procedure has captured the systematic information contained in the covariates. While traditional theory has l…
stat.ME2026
Deep Regression for Repeated Measurements under Covariate Shift
Yingxuan Wang, Xiangyu Xing, Wangli Xu
This paper studies nonparametric regression with repeated measurements when the response in the target domain is unobservable or costly to collect. We adopt a transfer learning fra…