Piotr Romashov

BayCon: Model-agnostic Bayesian Counterfactual Generator

Generating counterfactuals to discover hypothetical predictive scenarios is the de facto standard for explaining machine learning models and their predictions. However, building a counterfactual explainer that is time-efficient, scalable, and model-agnostic, in addition to being compatible with cont…