2 papers
math.ST2026
Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality
Xin Bing, Chao Wang
Kernel ridge regression (KRR) is a widely used nonparametric method due to its strong theoretical guarantees and computational convenience. However, standard KRR does not distingui…
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…