Explaining black box decisions by Shapley cohort refinement

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Explaining black box decisions by Shapley cohort refinement

1 November 2019

Benjamin B. Seiler

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Papers citing "Explaining black box decisions by Shapley cohort refinement"

17 / 17 papers shown

Title
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology Naofumi Hama 89 0 0 15 Oct 2023
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs Liuqing Yang Yongdao Zhou Haoda Fu Min-Qian Liu Wei Zheng 44 4 0 16 Sep 2023
Model free variable importance for high dimensional data Naofumi Hama Masayoshi Mase Art B. Owen 85 1 0 15 Nov 2022
RbX: Region-based explanations of prediction models Ismael Lemhadri Harrison H. Li Trevor Hastie 37 2 0 17 Oct 2022
Adaptive Bias Correction for Improved Subseasonal Forecasting Soukayna Mouatadid Paulo Orenstein Genevieve Flaspohler J. Cohen Miruna Oprescu E. Fraenkel Lester W. Mackey AI4Cl 143 33 0 21 Sep 2022
Algorithms to estimate Shapley value feature attributions Hugh Chen Ian Covert Scott M. Lundberg Su-In Lee TDI FAtt 98 240 0 15 Jul 2022
Shapley Computations Using Surrogate Model-Based Trees Zhipu Zhou Jie Chen Linwei Hu 44 0 0 11 Jul 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search Han Xiao Ziwei Wang Zhengbiao Zhu Jie Zhou Jiwen Lu TDI 57 41 0 20 Jun 2022
Confounder Analysis in Measuring Representation in Product Funnels Jilei Yang Wentao Su CML 50 0 0 07 Jun 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 99 8 0 25 May 2022
Decorrelated Variable Importance I. Verdinelli Larry A. Wasserman FAtt 64 20 0 21 Nov 2021
What makes you unique? Benjamin B. Seiler Masayoshi Mase Art B. Owen 29 0 0 17 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 112 14 0 15 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 103 139 0 30 Apr 2021
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 151 252 0 21 Nov 2020
True to the Model or True to the Data? Hugh Chen Joseph D. Janizek Scott M. Lundberg Su-In Lee TDI FAtt 180 168 0 29 Jun 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 63 114 0 23 Feb 2020