CRUDE: Calibrating Regression Uncertainty Distributions Empirically

Eric Zelikman, Christopher Healy, Sharon Zhou +1

Calibrated uncertainty estimates in machine learning are crucial to many fields such as autonomous vehicles, medicine, and weather and climate forecasting. While there is extensive…