Boosting Generalizable Fairness With Mahalanobis Distances Guided Boltzmann Exploratory Testing
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DOI: 10.1109/tse.2025.3581402
Abstract: Although machine learning models have been remarkably effective for decision-making tasks such as employment, insurance, and criminal justice, it remains urgent yet challenging to ensure model predictions are reliable and socially fair. This amounts to… read more here.
Keywords: mahalanobis distances; fairness testing; fairness; state ... See more keywords