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• The paper proposes a new framework for regression under demographic parity that focuses on the tails of the target distribution across sensitive groups.method 95%
• Constraining the entire distribution for demographic parity can degrade predictive accuracy.limitation 85%
• The proposed methodology builds on optimal transport theory.method 95%
• The approach enforces fairness constraints only over targeted regions of the distribution, enabling more nuanced and context-sensitive interventions.method 90%
• The paper provides theoretical guarantees, including risk bounds and fairness properties, for the proposed method.result 90%
• The paper validates the method through experiments in regression settings.result 90%
• The developed algorithm is interpretable and flexible, leveraging the geometric structure of optimal transport.technical 85%
• Fairness concerns for many applications are localized to specific regions of the distribution, not the entire distribution.technical 80%

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