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Cecilia Tilli

1 accepted papers

2022

Robust Counterfactual Explanations for Tree-Based Ensembles

ICML 2022spotlight

Counterfactual explanations inform ways to achieve a desired outcome from a machine learning model. However, such explanations are not robust to certain real-world changes in the underlying model (e.g., retraining the model, changing hyperparameters, etc.), questioning their reliability in several a…

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