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06/06/2023
Matched Pair Calibration for Ranking Fairness
We propose a test of fairness in score-based ranking systems called matc...
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01/31/2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets
In domains ranging from computer vision to natural language processing, ...
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10/28/2021
Two-sided fairness in rankings via Lorenz dominance
We consider the problem of generating rankings that are fair towards bot...
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04/29/2021
Online certification of preference-based fairness for personalized recommender systems
We propose to assess the fairness of personalized recommender systems in...
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03/10/2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Many technical approaches have been proposed for ensuring that decisions...
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09/15/2018
Omitted and Included Variable Bias in Tests for Disparate Impact
Policymakers often seek to gauge discrimination against groups defined b...
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07/31/2018
The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
In one broad class of supervised machine learning problems, researchers ...
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02/27/2017
