AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions

Counterfactual explanations formalize "what-if" scenarios by identifying modifications to an input instance that obtain a desired alternative prediction. Traditionally, whether generated via instance-specific optimization or amortized single pass models, these approaches rely on a single, determinis