research
∙
07/09/2021
Multiaccurate Proxies for Downstream Fairness
We study the problem of training a model that must obey demographic fair...
share
research
∙
06/08/2021
Adaptive Machine Unlearning
Data deletion algorithms aim to remove the influence of deleted data poi...
research
∙
02/16/2021
Lexicographically Fair Learning: Algorithms and Generalization
We extend the notion of minimax fairness in supervised learning problems...
research
∙
07/06/2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
We study the data deletion problem for convex models. By leveraging tech...
research
∙
06/12/2020
Algorithms and Learning for Fair Portfolio Design
We consider a variation on the classical finance problem of optimal port...
research
∙
02/13/2020
Differentially Private Call Auctions and Market Impact
We propose and analyze differentially private (DP) mechanisms for call a...
research
∙
09/09/2019
A New Analysis of Differential Privacy's Generalization Guarantees
We give a new proof of the "transfer theorem" underlying adaptive data a...
research
∙
05/25/2019
Average Individual Fairness: Algorithms, Generalization and Experiments
We propose a new family of fairness definitions for classification probl...
research
∙
12/06/2018
