Counterfactual Explanations for Incomplete Inputs Using Flow-Based Generative Models
Francesco Leofante, D. Neider, Mustafa Yalçiner
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Three lines of work are considered that build on standard counterfactual explanations and ask what would need to change for them to be better aligned with deployment requirements, including one that extends them beyond one-shot decisions to capture sequential decision-making.
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