2 papers
cs.LG2026
Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score
Stefan Haas, Luca Killmaier, Alireza Javanmardi +1
Ordinal classification (OC) arises in high-stakes domains such as medicine and finance, where uncertainty quantification must account for the severity of ordinal errors. Conformal…
cs.LG2025
Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction
Stefan Haas, Eyke Hüllermeier
Ordinal classification problems, where labels exhibit a natural order, are prevalent in high-stakes fields such as medicine and finance. Accurate uncertainty quantification, includ…