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P$^2$CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations

de Oliveira, Arthur Hendricks Mendes et al.
arXiv (OAI Expanded) · Papers
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machine-learning
The increasing use of machine learning algorithms in social applications has raised concerns about fairness and transparency, leading to the development of counterfactual explanations. These explanations supports individuals to understand and potentially alter unfavorable decisions in areas such as
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