Browsing by Author Bruno, Lepri

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  • Authors: Giovanni De, Toni; Bruno, Lepri; Andrea, Passerini;  Advisor: -;  Co-Author: - (2023)

    Being able to provide counterfactual interventions—sequences of actions we would have had to take for a desirable outcome to happen—is essential to explain how to change an unfavourable decision by a black-box machine learning model (e.g., being denied a loan request). Existing solutions have mainly focused on generating feasible interventions without providing explanations of their rationale. Moreover, they need to solve a separate optimization problem for each user.