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We present a new method for counterfactual explanations (CFEs) based on Bayesian optimisation that applies to both classification and regression models.
Interpretable counterfactual explanations guided by prototypes
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Convex density constraints for computing plausible counterfactual explanations
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Stratis Tsirtsis and Manuel Gomez Rodriguez · 2020
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Yichi Zhang, Daniel W. Apley, and Wei Chen · 2020
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