@InProceedings{blasiok_et_al:LIPIcs.ITCS.2024.17,
author = {B{\l}asiok, Jaros{\l}aw and Gopalan, Parikshit and Hu, Lunjia and Kalai, Adam Tauman and Nakkiran, Preetum},
title = {{Loss Minimization Yields Multicalibration for Large Neural Networks}},
booktitle = {15th Innovations in Theoretical Computer Science Conference (ITCS 2024)},
pages = {17:1--17:21},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-309-6},
ISSN = {1868-8969},
year = {2024},
volume = {287},
editor = {Guruswami, Venkatesan},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2024.17},
URN = {urn:nbn:de:0030-drops-195452},
doi = {10.4230/LIPIcs.ITCS.2024.17},
annote = {Keywords: Multi-group fairness, loss minimization, neural networks}
}