Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning

Haocheng Lei, Anthony Bellotti

By generating prediction intervals (PIs) to quantify the uncertainty of each prediction in deep learning regression, the risk of wrong predictions can be effectively controlled. Hi…