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On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results

Journal of machine learning research (JMLR), 2021

16 April 2021

Leopoldo Bertossi

Papers citing "On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results"

21 / 21 papers shown

Title
Additive Models Explained: A Computational Complexity Approach Shahaf Bassan Michal Moshkovitz Guy Katz FAtt 189 1 0 24 Oct 2025
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism Reda Marzouk Shahaf Bassan Guy Katz FAtt 224 2 0 24 Oct 2025
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index Xuanxiang Huang Olivier Letoffe Joao Marques-Silva FAtt 108 0 0 16 Aug 2025
UbiQTree: Uncertainty Quantification in XAI with Tree Ensembles Akshat Dubey Aleksandar Anžel Bahar İlgen Georges Hattab FAtt UD 228 0 0 13 Aug 2025
Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tomás Capdevielle Santiago Cifuentes FAtt 168 0 0 06 May 2025
On the Complexity of Global Necessary Reasons to Explain Classification M. Calautti Enrico Malizia Cristian Molinaro FAtt 207 2 0 12 Jan 2025
When is the Computation of a Feature Attribution Method Tractable? P. Barceló R. Cominetti M. Morgado TDI FAtt 262 1 0 04 Jan 2025
The Sets of Power Joao Marques-Silva Carlos Mencía Raúl Mencía 133 0 0 10 Oct 2024
Logic-Based Explainability: Past, Present & Future Joao Marques-Silva 254 3 0 04 Jun 2024
From SHAP Scores to Feature Importance Scores Olivier Letoffe Xuanxiang Huang Nicholas M. Asher Sasha Rubin FAtt 194 13 0 20 May 2024
On the Tractability of SHAP Explanations under Markovian DistributionsInternational Conference on Machine Learning (ICML), 2024 Reda Marzouk C. D. L. Higuera FAtt 208 8 0 05 May 2024
The Distributional Uncertainty of the SHAP score in Explainable Machine LearningEuropean Conference on Artificial Intelligence (ECAI), 2024 Santiago Cifuentes L. Bertossi Nina Pardal S. Abriola Maria Vanina Martinez Miguel Romero TDI FAtt 184 1 0 23 Jan 2024
Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases Pratik Karmakar Mikaël Monet Pierre Senellart St´ephane Bressan TDI 67 16 0 12 Jan 2024
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 237 4 0 30 Sep 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 314 3 0 06 Sep 2023
Attribution-Scores in Data Management and Explainable Machine LearningSymposium on Advances in Databases and Information Systems (ADBIS), 2023 Leopoldo Bertossi XAI FAtt CML 213 1 0 31 Jul 2023
On Formal Feature Attribution and Its Approximation Jinqiang Yu Alexey Ignatiev Peter Stuckey 365 10 0 07 Jul 2023
Explainability is NOT a GameCommunications of the ACM (CACM), 2023 Sasha Rubin Xuanxiang Huang 259 33 0 27 Jun 2023
Disproving XAI Myths with Formal Methods -- Initial ResultsIEEE International Conference on Engineering of Complex Computer Systems (ICECCS), 2023 Sasha Rubin 206 12 0 13 May 2023
Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge CompilationEuropean Conference on Logics in Artificial Intelligence (JELIA), 2023 Leopoldo Bertossi Jorge E. Leon FAtt 255 2 0 11 Mar 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 267 46 0 16 Feb 2023