UGCE reuses and repairs an evolved population of counterfactuals when user constraints change, cutting runtime versus recomputing from scratch, though success rates drop on some datasets.
Counterfactual explanations and algorithmic recourses for machine learning: A review,
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UGCE: User-Guided Incremental Counterfactual Exploration
UGCE reuses and repairs an evolved population of counterfactuals when user constraints change, cutting runtime versus recomputing from scratch, though success rates drop on some datasets.