Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective

Kevin Zhang, Stephen Bates

Conformal prediction is a popular tool for uncertainty quantification that outputs prediction sets with finite-sample coverage guarantees. While prediction set size is commonly use…