Uncertainty Quantification for Regression using Proper Scoring Rules

Alexander Fishkov, Kajetan Schweighofer, Mykyta Ielanskyi +3

Quantifying uncertainty of machine learning model predictions is essential for reliable decision-making, especially in safety-critical applications. Recently, uncertainty quantific…