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06/12/2023
Unprocessing Seven Years of Algorithmic Fairness
Seven years ago, researchers proposed a postprocessing method to equaliz...
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09/16/2022
FairGBM: Gradient Boosting with Fairness Constraints
Machine Learning (ML) algorithms based on gradient boosted decision tree...
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07/13/2022
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions
In recent years, machine learning algorithms have become ubiquitous in a...
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03/23/2021
Promoting Fairness through Hyperparameter Optimization
Considerable research effort has been guided towards algorithmic fairnes...
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11/30/2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
Recurrent neural networks are a standard building block in numerous mach...
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10/07/2020
