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06/26/2023
Balanced Filtering via Non-Disclosive Proxies
We study the problem of non-disclosively collecting a sample of data tha...
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06/19/2023
Correcting Underrepresentation and Intersectional Bias for Fair Classification
We consider the problem of learning from data corrupted by underrepresen...
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07/09/2021
Multiaccurate Proxies for Downstream Fairness
We study the problem of training a model that must obey demographic fair...
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02/16/2021
Lexicographically Fair Learning: Algorithms and Generalization
We extend the notion of minimax fairness in supervised learning problems...
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11/05/2020
Convergent Algorithms for (Relaxed) Minimax Fairness
We consider a recently introduced framework in which fairness is measure...
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06/12/2020
Algorithms and Learning for Fair Portfolio Design
We consider a variation on the classical finance problem of optimal port...
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02/13/2020
Differentially Private Call Auctions and Market Impact
We propose and analyze differentially private (DP) mechanisms for call a...
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12/12/2019