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              On the Epistemic Limits of Personalized Prediction

              Nov 28, 2022

              Speakers

              LMP

              Lucas Monteiro Paes

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              XL

              Xuan Long

              Speaker · 0 followers

              BU

              Berk Ustun

              Speaker · 2 followers

              About

              Predictive models often include group attributes that encode personal characteristics like sex, blood type, or HIV status. Personalized models must ensure fair use – i.e., groups who provide personal data should expect to receive a tailored improvement in accuracy compared to a non-personalized model. In this paper, we derive conditions under which one can detect fair use violations in predictive models and characterize when estimating fair use is impossible. We propose a metric to evaluate the…

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              NeurIPS 2022

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