2026
RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
ICML 2026poster
Counterfactual explanations (CFs) help understand machine learning models by identifying minimal input changes that would lead to alternative model outcomes. Recent work demonstrates their utility for reconstructing black-box models, enabling third-party auditing of opaque decision systems for fairn…