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Approximation of group explainers with coalition structure using Monte
  Carlo sampling on the product space of coalitions and features

Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features

17 March 2023
Konstandinos Kotsiopoulos
A. Miroshnikov
Khashayar Filom
Arjun Ravi Kannan
    FAtt
ArXivPDFHTML

Papers citing "Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features"

4 / 4 papers shown
Title
On marginal feature attributions of tree-based models
On marginal feature attributions of tree-based models
Khashayar Filom
A. Miroshnikov
Konstandinos Kotsiopoulos
Arjun Ravi Kannan
FAtt
36
3
0
16 Feb 2023
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
TDI
FAtt
119
166
0
29 Jun 2020
Feature relevance quantification in explainable AI: A causal problem
Feature relevance quantification in explainable AI: A causal problem
Dominik Janzing
Lenon Minorics
Patrick Blobaum
FAtt
CML
57
280
0
29 Oct 2019
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
891
16,891
0
16 Feb 2016
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