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News/Private Rate-Constrained Optimization with Applications to Fair Learning
arxiv
PublishedJuly 1, 2026 at 4:00 AM

Private Rate-Constrained Optimization with Applications to Fair Learning

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arXiv:2505.22703v2 Announce Type: replace Abstract: Many problems in trustworthy ML can be expressed as constraints on prediction rates across subpopulations, including group fairness constraints (demographic parity, equalized odds, etc.). In this work, we study such constrained minimization problem

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