Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock. Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event. Volume 119 of Proceedings of Machine Learning Research, pages 8158-8168, PMLR, 2020. [doi]
@inproceedings{RolfSDLBHB20,
title = {Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning},
author = {Esther Rolf and Max Simchowitz and Sarah Dean and Lydia T. Liu and Daniel Björkegren and Moritz Hardt and Joshua Blumenstock},
year = {2020},
url = {http://proceedings.mlr.press/v119/rolf20a.html},
researchr = {https://researchr.org/publication/RolfSDLBHB20},
cites = {0},
citedby = {0},
pages = {8158-8168},
booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event},
volume = {119},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}