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Found 2 papers, 1 papers with code
The Risks of Recourse in Binary Classification
Algorithmic recourse provides explanations that help users overturn an unfavorable decision by a machine learning system.
Attribution-based Explanations that Provide Recourse Cannot be Robust
Finally, we strengthen our impossibility result for the restricted case where users are only able to change a single attribute of $x$, by providing an exact characterization of the functions $f$ to which impossibility applies.
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