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  • title: A Stochastic Optimization Framework for Fair Risk Minimization
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            A Stochastic Optimization Framework for Fair Risk Minimization
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            A Stochastic Optimization Framework for Fair Risk Minimization

            Dec 2, 2022

            Speakers

            AL

            Andrew Lowy

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            SB

            Sina Baharlouei

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            RP

            Rakesh Pavan

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            About

            Despite the success of large-scale empirical risk minimization (ERM) at achieving high accuracy across a variety of machine learning tasks, fair ERM is hindered by the incompatibility of fairness constraints with stochastic optimization. We consider the problem of fair classification with discrete sensitive attributes and potentially large models and data sets, requiring stochastic solvers. Existing in-processing fairness algorithms are either impractical in the large-scale setting because they…

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            NeurIPS 2022

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