Multi-Agent Conformal Prediction with Personalized Statistical Validity 事件

Multi-Agent Conformal Prediction with Personalized Statistical Validity arXiv:2606.00717v1 Announce Type: cross Abstract: Uncertainty quantification is essential in high-stakes machine learning tasks. However, one of the principled solutions, conformal prediction, faces challenges under limited local calibration data, privacy constraints, and data heterogeneity. In multi-agent settings, existing works do not simultaneously and satisfactorily address these challenges with guarantees either limit