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MaryBeth Defrance

2 accepted papers

2024

ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods

NeurIPS 2024poster

Numerous methods have been implemented that pursue fairness with respect to sensitive features by mitigating biases in machine learning. Yet, the problem settings that each method tackles vary significantly, including the stage of intervention, the composition of sensitive features, the fairness not…

2024

fairret: a Framework for Differentiable Fairness Regularization Terms

ICLR 2024poster

Current tools for machine learning fairness only admit a limited range of fairness definitions and have seen little integration with automatic differentiation libraries, despite the central role these libraries play in modern machine learning pipelines. We introduce a framework of fairness regulari…