14 citations · 14 across the 1 of their papers we have counts for
1 paper
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…