Fairness Without Demographics in Repeated Loss Minimization: Difference between revisions
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=Overview of the Paper= | =Overview of the Paper= | ||
=Introduction= | |||
==Fairness== | |||
=Example and Problem Setup= | |||
=Disparity Amplification= |
Revision as of 13:16, 19 October 2018
This page contains the summary of the paper "Fairness Without Demographics in Repeated Loss Minimization" by Hashimoto, T. B., Srivastava, M., Namkoong, H., & Liang, P. which was published at the International Conference of Machine Learning (ICML) in 2018. In the following, an