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cs.LG2026
Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
Mieke Wilms, Christoph Heitz
Designing fair algorithmic decision systems requires balancing model performance with fairness toward affected individuals: More fairness might require sacrificing some performance…
cs.LG2026
First-See-Then-Design: A Multi-Stakeholder View for Optimal Performance-Fairness Trade-Offs
Kavya Gupta, Nektarios Kalampalikis, Christoph Heitz +1
Fairness in algorithmic decision-making is often defined in the predictive space, where predictive performance - used as a proxy for decision-maker (DM) utility - is traded off aga…