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Minimax Group Fairness in Strategic Classification
Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions
Reconciling Predictive Multiplicity in Practice
Balanced Filtering via Disclosure-Controlled Proxies
Correcting Underrepresentation and Intersectionality Bias for Classification
Multiaccurate Proxies for Downstream Fairness
Algorithms and Learning for Fair Portfolio Design
Lexicographically Fair Learning: Algorithms and Generalization
Minimax Group Fairness: Algorithms and Experiments
Differentially Private Call Auctions and Market Impact

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