RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model

Counterfactual (CF) explanations for machine learning (ML) models are preferred by end-users, as they explain the predictions of ML models by providing a recourse (or contrastive) case to individuals who are adversely impacted by predicted outcomes. Existing CF explanation methods generate recourses...

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Veröffentlicht in:	arXiv.org 2023-08
Hauptverfasser:	Guo, Hangzhi, Jia, Feiran, Chen, Jinghui, Squicciarini, Anna, Yadav, Amulya
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science - Learning Datasets Impact prediction Machine learning Optimization Robustness Training
Online-Zugang:	Volltext
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