2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
UAI 2020poster
Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating prediction intervals along with point estimates from an ensemble of neural networks. We propose a multi-objective loss funct…