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12/31/2020
Fairness in Machine Learning
Machine learning based systems are reaching society at large and in many...
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06/12/2020
Fair Regression with Wasserstein Barycenters
We study the problem of learning a real-valued function that satisfies t...
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06/25/2019
Learning Fair and Transferable Representations
Developing learning methods which do not discriminate subgroups in the p...
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06/12/2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
We study the problem of fair binary classification using the notion of E...
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01/29/2019
General Fair Empirical Risk Minimization
We tackle the problem of algorithmic fairness, where the goal is to avoi...
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10/19/2018
Taking Advantage of Multitask Learning for Fair Classification
A central goal of algorithmic fairness is to reduce bias in automated de...
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02/23/2018
