arxiv
PublishedJuly 27, 2026 at 4:00 AM
▲bullish
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
Publisher summary· verbatim
arXiv:2505.08784v3 Announce Type: replace-cross Abstract: As machine learning (ML) enters high-stakes domains, trustworthy uncertainty quantification (UQ) is essential for safety. In this paper we introduce PCS-UQ, a framework based on the Predictability, Computability, and Stability (PCS) principle
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivPhotonic reservoir computing with complex networks4harxivXS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control4harxivAgentic Permissions Policy Algebra for Taint Confinement in LLM Agents4harxivBeyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks4hThe Bubble Brief
WEEKLYRead machine-learning insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗