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Machine learning systems based on minimizing average error have been shown to perform inconsistently across notable subsets of the data, which is not exposed by a low average error for the entire dataset.
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Fairness Without Demographics in Repeated Loss Minimization
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Convex Optimization Theory
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Brendan Klare, Mark James Burge, Joshua C. Klontz, Richard W. Vorder Bruegge, and Anil K. Jain · 2012
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Convex Optimization
Stephen P. Boyd and Lieven Vandenberghe · 2014
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Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
Amit Datta, Michael Carl Tschantz, and Anupam Datta · 2014
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Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
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i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition
Hamid Behravan, Ville Hautamäki, Sabato Marco Siniscalchi, Tomi Kinnunen, and Chin-Hui Lee · 2015
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Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, and Daniela Rus · 2019
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