2 papers
cs.LG2026
PCE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations
Arthur Hendricks Mendes de Oliveira, Giovani Valdrighi, Marcos Medeiros Raimundo
The increasing use of machine learning algorithms in social applications has raised concerns about fairness and transparency, leading to the development of counterfactual explanati…
cs.LG2025
MFGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen S. B. Pereira, Giovani Valdrighi, Marcos Medeiros Raimundo
In recent years, fairness in machine learning has emerged as a critical concern to ensure that developed and deployed predictive models do not have disadvantageous predictions for…