most citedData Decisions and Theoretical Implications when Adversarially Learning Fair Representations

299 citations · 299 across the 1 of their papers we have counts for

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1 paper

cs.LG2017★ 299 cited

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Alex Beutel, Jilin Chen, Zhe Zhao +1

How can we learn a classifier that is "fair" for a protected or sensitive group, when we do not know if the input to the classifier belongs to the protected group? How can we train…