Paper introduces regime-arrival uncertainty in generalization bounds

Arxiv CS.LG (machine learning)

Proposes model for generalization bounds when deployment distribution differs due to regime shifts between calm and crisis states. The work addresses limitations of standard bounds that assume static distributions.

Arxiv CS.LG (machine learning)·Prince Poudel

8 days ago