Variable Importance Clouds: A Way to Explore Variable Importance for the
Set of Good Models

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Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models

10 January 2019

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Papers citing "Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models"

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Title
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 107 3 0 28 Jan 2025
UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Mufan Sang John H. L. Hansen 44 0 0 27 Jan 2025
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 144 8 0 12 Feb 2024
A Computational Exploration of Emerging Methods of Variable Importance Estimation Louis Mozart Kamdem Ernest Fokoue FAtt 33 0 0 05 Aug 2022
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set Gabriel Laberge Y. Pequignot Alexandre Mathieu Foutse Khomh M. Marchand FAtt 62 6 0 26 Oct 2021
On the Trustworthiness of Tree Ensemble Explainability Methods Angeline Yasodhara Azin Asgarian Diego Huang Parinaz Sobhani FAtt 110 5 0 30 Sep 2021
Subset selection for linear mixed models Daniel R. Kowal 79 3 0 27 Jul 2021
Directional Bias Amplification Angelina Wang Olga Russakovsky 79 70 0 24 Feb 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 105 85 0 02 Jan 2021
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 136 147 0 14 Sep 2019