Researchers have developed CausalCACTUS, a framework that generates counterfactual explanations for black-box machine learning models which simultaneously respect learned causal ...
Researchers have developed P2CE, a model-agnostic algorithm that generates counterfactual explanations for machine learning decisions that are both plausible and ...
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