- Yapay Zeka · arxiv/cs.AI · 8 dk
Fairness in sequential ML requires accounting for unequal uncertainty
Lee et al. show how model, feedback, and prediction uncertainty compound disadvantage in online decision systems, and propose uncertainty-aware methods to reduce disparities.
24 Nisan 2026 Oku → → - Yapay Zeka · arxiv/cs.LG · 8 dk
Formalizing How Much Data Proves a Learning Model Right
Researchers formalize identifying information—the bits needed to confirm or reject a hypothesis—bridging information theory with practical sample complexity.
17 Nisan 2026 Oku → →