Calibrated Preference Learning: The Case of Label Ranking

Santo M. A. R. Thies, Viktor Bengs, Timo Kaufmann +2

Calibration, the alignment of predicted probabilities with true outcome frequencies, is essential for reliable decision-making. While extensively studied for classification and reg…