General and Estimable Learning Bound Unifying Covariate and Concept Shifts

Hongbo Chen, Li Charlie Xia

Generalization under distribution shift remains a core challenge in modern machine learning, yet existing learning bound theory is limited to narrow, idealized settings and is non-…