Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

A new general bias-variance decomposition for strictly proper scoring rules has finally been introduced in an AISTATS 2023 paper by Gruber & Buettner. This advancement provides practical tools for understanding ensemble models, constructing confidence regions, and improving out-of-distribution detection, addressing a long-standing gap in uncertainty estimation.