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01/31/2023
Multicalibration as Boosting for Regression
We study the connection between multicalibration and boosting for square...
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09/15/2022
Multicalibrated Regression for Downstream Fairness
We show how to take a regression function f̂ that is appropriately “mult...
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01/25/2022
Beyond the Frontier: Fairness Without Accuracy Loss
Notions of fair machine learning that seek to control various kinds of e...
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06/18/2021
Non-parametric Differentially Private Confidence Intervals for the Median
Differential privacy is a restriction on data processing algorithms that...
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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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03/01/2019