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cs.LG2020
Minimax Group Fairness: Algorithms and Experiments
Emily Diana, Wesley Gill, Michael Kearns +2
We consider a recently introduced framework in which fairness is measured by worst-case outcomes across groups, rather than by the more standard differences between group outcomes.…
cs.LG2020
Algorithms and Learning for Fair Portfolio Design
Emily Diana, Travis Dick, Hadi Elzayn +5
We consider a variation on the classical finance problem of optimal portfolio design. In our setting, a large population of consumers is drawn from some distribution over risk tole…
cs.GT2020
Differentially Private Call Auctions and Market Impact
Emily Diana, Hadi Elzayn, Michael Kearns +3
We propose and analyze differentially private (DP) mechanisms for call auctions as an alternative to the complex and ad-hoc privacy efforts that are common in modern electronic mar…