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Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
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Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity

Kacper Sokol
Meelis Kull
J. Chan
Flora D. Salim
ArXiv (abs)PDFHTML

Papers citing "Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity"

3 / 3 papers shown
Title
Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
Hana Samad
Michael Akinwumi
Jameel Khan
Christoph Mügge-Durum
Emmanuel O. Ogundimu
39
0
0
02 Jun 2025
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty
Kacper Sokol
Eyke Hüllermeier
132
2
0
24 Feb 2025
The Curious Case of Arbitrariness in Machine Learning
Prakhar Ganesh
Afaf Taik
G. Farnadi
105
3
0
28 Jan 2025

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