Beyond Prediction-Set Size: Quantifying Conformal Uncertainty through Credal Geometry
Credal geometry is established as a principled framework for quantifying conformal uncertainty and understanding its limitations, reducing potentially exponential computations to linear time after sorting the conformal p-values.
Siu Lun Chau, Soroush H. Zargarbashi, Yusuf Sale et al.
· 5 citations