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20092023
most citedPreventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

381 citations · 2.3k across the 89 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

cs.CY2022★ 26 cited

Confidence-Ranked Reconstruction of Census Microdata from Published Statistics

Travis Dick, Cynthia Dwork, Michael Kearns +4

A reconstruction attack on a private dataset takes as input some publicly accessible information about the dataset and produces a list of candidate elements of . We introduc…

cs.LG2022★ 1 cited

Batch Multivalid Conformal Prediction

Christopher Jung, Georgy Noarov, Ramya Ramalingam +1

We develop fast distribution-free conformal prediction algorithms for obtaining multivalid coverage on exchangeable data in the batch setting. Multivalid coverage guarantees are st…

cs.LG2022★ 7 cited

Private Synthetic Data for Multitask Learning and Marginal Queries

Giuseppe Vietri, Cedric Archambeau, Sergul Aydore +6

We provide a differentially private algorithm for producing synthetic data simultaneously useful for multiple tasks: marginal queries and multitask machine learning (ML). A key inn…

cs.GT2022★ 1 cited

Wealth Dynamics Over Generations: Analysis and Interventions

Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan +2

We present a stylized model with feedback loops for the evolution of a population's wealth over generations. Individuals have both talent and wealth: talent is a random variable di…

cs.LG2022★ 1 cited

Multicalibrated Regression for Downstream Fairness

Ira Globus-Harris, Varun Gupta, Christopher Jung +3

We show how to take a regression function that is appropriately ``multicalibrated'' and efficiently post-process it into an approximately error minimizing classifier sati…

cs.LG2022

Reconciling Individual Probability Forecasts

Aaron Roth, Alexander Tolbert, Scott Weinstein

Individual probabilities refer to the probabilities of outcomes that are realized only once: the probability that it will rain tomorrow, the probability that Alice will die within…