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Making models algorithmically fairer in tabular data has been long studied, with techniques typically oriented towards fixes which usually take a neural model with an undesirable outcome and make changes to how the data are ingested, what the model weights are, or how outputs are processed.
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Hans Hofmann · 1994
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Journal of Global Optimization , 13(4):455–492, Jan 1998
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