Target Strangeness: A Novel Conformal Prediction Difficulty Estimator

Code

• github.com/ic-crc/uncertainty-estimation
  Officialnone★ 0

Abstract

This paper introduces Target Strangeness, a novel difficulty estimator for conformal prediction (CP) that offers an alternative approach for normalizing prediction intervals (PIs). By assessing how atypical a prediction is within the context of its nearest neighbours' target distribution, Target Strangeness can surpass the current state-of-the-art performance. This novel difficulty estimator is evaluated against others in the context of several conformal regression experiments.

Tasks

Reproductions