Noise-tolerant fair classification

NeurIPS 2019 Alexandre Louis LamyZiyuan ZhongAditya Krishna MenonNakul Verma

Fairness-aware learning involves designing algorithms that do not discriminate with respect to some sensitive feature (e.g., race or gender). Existing work on the problem operates under the assumption that the sensitive feature available in one's training sample is perfectly reliable... (read more)

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