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…