The Rashomon Importance Distribution: Getting RID of Unstable, Single
Model-based Variable Importance

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The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance

Neural Information Processing Systems (NeurIPS), 2023

24 September 2023

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Papers citing "The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance"

18 / 18 papers shown

Title
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration Elif Arslan J. G. M. van der Linden Serge Hoogendoorn Marco Rinaldi Emir Demirović 60 0 0 05 Nov 2025
Efficient & Correct Predictive Equivalence for Decision Trees Joao Marques-Silva Alexey Ignatiev 168 0 0 22 Sep 2025
VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance Yuanzhe Jin 53 0 0 30 Jul 2025
Leveraging Predictive Equivalence in Decision Trees Hayden McTavish Zachery Boner J. Donnelly Margo Seltzer Cynthia Rudin 242 1 0 17 Jun 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-TimeComputer Vision and Pattern Recognition (CVPR), 2025 J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 368 7 0 03 Mar 2025
Near Optimal Decision Trees in a SPLIT Second Varun Babbar Hayden McTavish Cynthia Rudin Margo Seltzer 216 2 0 21 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 330 6 0 28 Jan 2025
UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker VerificationIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025 Mufan Sang John H. L. Hansen 100 1 0 27 Jan 2025
Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric PerspectiveInformation Fusion (Inf. Fusion), 2024 Mustafa Cavus P. Biecek 213 6 0 12 Dec 2024
Rashomon effect in Educational Research: Why More is Better Than One for Measuring the Importance of the Variables? Jakub Kuzilek Mustafa Çavuş 188 1 0 02 Dec 2024
Targeted Learning for Variable ImportanceConference on Uncertainty in Artificial Intelligence (UAI), 2024 Xiaohan Wang Yunzhe Zhou Giles Hooker 182 0 0 04 Nov 2024
Amazing Things Come From Having Many Good Models Cynthia Rudin Chudi Zhong Lesia Semenova Margo Seltzer Ronald E. Parr Jiachang Liu Srikar Katta Jon Donnelly Harry Chen Zachery Boner 244 49 0 05 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 318 4 0 26 Jun 2024
A Guide to Feature Importance Methods for Scientific Inference F. K. Ewald Ludwig Bothmann Marvin N. Wright J. Herbinger Giuseppe Casalicchio Gunnar Konig 203 20 0 19 Apr 2024
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification Mustafa Cavus Przemysław Biecek 193 11 0 22 Mar 2024
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts Varun Babbar Zhicheng Guo Cynthia Rudin 282 2 0 08 Mar 2024
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 281 11 0 12 Feb 2024
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 2.7K 28,228 0 22 May 2017