@InProceedings{lazarreich_et_al:LIPIcs.FORC.2021.4,
  author =	{Lazar Reich, Claire and Vijaykumar, Suhas},
  title =	{{A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?}},
  booktitle =	{2nd Symposium on Foundations of Responsible Computing (FORC 2021)},
  pages =	{4:1--4:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-187-0},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{192},
  editor =	{Ligett, Katrina and Gupta, Swati},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2021.4},
  URN =		{urn:nbn:de:0030-drops-138727},
  doi =		{10.4230/LIPIcs.FORC.2021.4},
  annote =	{Keywords: fair prediction, impossibility results, screening decisions, classification, calibration, equalized odds, optimal transport, risk scores}
}