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Found 2 papers, 1 papers with code
fairret: a Framework for Differentiable Fairness Regularization Terms
Current fairness toolkits in machine learning 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.
Maximal Fairness
To date, this negative result has not yet been complemented with a positive one: a characterization of which combinations of fairness notions are possible.
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