arXiv Machine Learning September 11, 2026 By Hongbo Chen, Li Charlie Xia

General Quantification of Covariate and Concept Shifts

Read the original on arXiv Machine Learning →

arXiv:2609. 11918v1 Announce Type: new Abstract: 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-estimable from samples.

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