2 papers
stat.ML2025
Transfer Learning for Kernel-based Regression
Chao Wang, Caixing Wang, Xin He +1
In recent years, transfer learning has garnered significant attention. Its ability to leverage knowledge from related studies to improve generalization performance in a target stud…
math.ST2025
Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression
Xin Bing, Xin He, Chao Wang
Kernel methods, particularly kernel ridge regression (KRR), are time-proven, powerful nonparametric regression techniques known for their rich capacity, analytical simplicity, and…