Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Ananya Kumar, Tengyu Ma 0001, Percy Liang, Aditi Raghunathan. Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 1041-1051, PMLR, 2022. [doi]

This author has not been identified. Look up 'Ananya Kumar' in GoogleThis author has not been identified. Look up 'Tengyu Ma 0001' in GoogleThis author has not been identified. Look up 'Percy Liang' in GoogleThis author has not been identified. Look up 'Aditi Raghunathan' in Google

runs on WebDSL