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Disi Ji

2 accepted papers

2020

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

NeurIPS 2020poster

Group fairness is measured via parity of quantitative metrics across different protected demographic groups. In this paper, we investigate the problem of reliably assessing group fairness metrics when labeled examples are few but unlabeled examples are plentiful. We propose a general Bayesian framew…

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