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Explaining black box decisions by Shapley cohort refinement
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Explaining black box decisions by Shapley cohort refinement

Masayoshi Mase
Art B. Owen
Benjamin B. Seiler
ArXiv (abs)PDFHTML

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
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
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
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
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
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
Algorithms to estimate Shapley value feature attributions
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDIFAtt
98
240
0
15 Jul 2022
Shapley Computations Using Surrogate Model-Based Trees
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
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
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
Deletion and Insertion Tests in Regression Models
Naofumi Hama
Masayoshi Mase
Art B. Owen
99
8
0
25 May 2022
Decorrelated Variable Importance
Decorrelated Variable Importance
I. Verdinelli
Larry A. Wasserman
FAtt
62
20
0
21 Nov 2021
What makes you unique?
What makes you unique?
Benjamin B. Seiler
Masayoshi Mase
Art B. Owen
20
0
0
17 May 2021
Cohort Shapley value for algorithmic fairness
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
Explaining a Series of Models by Propagating Shapley Values
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDIFAtt
102
139
0
30 Apr 2021
Explaining by Removing: A Unified Framework for Model Explanation
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
149
252
0
21 Nov 2020
True to the Model or True to the Data?
True to the Model or True to the Data?
Hugh Chen
Joseph D. Janizek
Scott M. Lundberg
Su-In Lee
TDIFAtt
175
168
0
29 Jun 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAttTDI
63
114
0
23 Feb 2020