Jonas Hanselle

Conformal Prediction without Nonconformity Scores

Conformal prediction (CP) is an uncertainty quantification framework that allows for constructing statistically valid prediction sets. Key to the construction of these sets is the notion of a nonconformity function, which assigns a real-valued score to individual data points: only those (hypothetica