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Feature relevance quantification in explainable AI: A causal problem
v1v2 (latest)

Feature relevance quantification in explainable AI: A causal problem

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
29 October 2019
Dominik Janzing
Lenon Minorics
Patrick Blobaum
    FAttCML
ArXiv (abs)PDFHTML

Papers citing "Feature relevance quantification in explainable AI: A causal problem"

50 / 140 papers shown
MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding
MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding
Abraham Itzhak Weinberg
CML
516
1
0
11 Nov 2025
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
133
4
0
28 Oct 2025
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
Reda Marzouk
Shahaf Bassan
Guy Katz
FAtt
313
6
0
24 Oct 2025
A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
Marco Barbero Mota
Eric V. Strobl
J. M. Still
William W Stead
Thomas A. Lasko
CML
427
0
0
15 Oct 2025
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
Álvaro Parafita
Tomas Garriga
Axel Brando
Francisco J. Cazorla
FAttCML
409
2
0
24 Sep 2025
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
Woon Yee Ng
Li Wang
Siyuan Liu
Xiuyi Fan
CML
177
1
0
31 Aug 2025
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
Xuanxiang Huang
Olivier Letoffe
Joao Marques-Silva
FAtt
213
0
0
16 Aug 2025
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Majid Mohammadi
Siu Lun Chau
Krikamol Muandet
FAtt
576
6
0
22 May 2025
Explainable Machine Learning for Oxygen Diffusion in Perovskites and Pyrochlores
Explainable Machine Learning for Oxygen Diffusion in Perovskites and Pyrochlores
Grace M. Lu
Dallas R. Trinkle
157
0
0
16 May 2025
Class-Level Feature Selection Method Using Feature Weighted Growing Self-Organising Maps
Class-Level Feature Selection Method Using Feature Weighted Growing Self-Organising Maps
Andrew Starkey
Uduak Idio Akpan
Omaimah AL Hosni
Yaseen Pullissery
180
0
0
14 Mar 2025
Suboptimal Shapley Value Explanations
Suboptimal Shapley Value Explanations
Xiaolei Lu
FAtt
432
0
0
17 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
942
17
0
10 Jan 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game TheoryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
608
15
0
22 Dec 2024
Feature Selection for Network Intrusion DetectionKnowledge Discovery and Data Mining (KDD), 2024
Charles Westphal
Stephen Hailes
Mirco Musolesi
AAML
357
14
0
18 Nov 2024
Linking Model Intervention to Causal Interpretation in Model Explanation
Linking Model Intervention to Causal Interpretation in Model Explanation
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Kui Yu
T. Le
Jixue Liu
CML
336
1
0
21 Oct 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural InterpretationsInternational Conference on Learning Representations (ICLR), 2024
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
640
1
0
10 Oct 2024
Group Shapley Value and Counterfactual Simulations in a Structural Model
Group Shapley Value and Counterfactual Simulations in a Structural Model
Yongchan Kwon
Sokbae Lee
Guillaume A. Pouliot
427
1
0
09 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
Provably Accurate Shapley Value Estimation via Leverage Score SamplingInternational Conference on Learning Representations (ICLR), 2024
Christopher Musco
R. Teal Witter
FAttFedMLTDI
452
20
0
02 Oct 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP
  Explanations
Faithfulness and the Notion of Adversarial Sensitivity in NLP ExplanationsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024
Supriya Manna
Niladri Sett
AAML
422
3
0
26 Sep 2024
Optimal ablation for interpretability
Optimal ablation for interpretabilityNeural Information Processing Systems (NeurIPS), 2024
Maximilian Li
Lucas Janson
FAtt
459
17
0
16 Sep 2024
Flexible categorization using formal concept analysis and
  Dempster-Shafer theory
Flexible categorization using formal concept analysis and Dempster-Shafer theoryInternational Journal of Approximate Reasoning (IJAR), 2024
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
Nachoem Wijnberg
297
1
0
23 Aug 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model
  Interpretation
Hard to Explain: On the Computational Hardness of In-Distribution Model InterpretationEuropean Conference on Artificial Intelligence (ECAI), 2024
Guy Amir
Shahaf Bassan
Guy Katz
353
11
0
07 Aug 2024
Investigating and unmasking feature-level vulnerabilities of CNNs to
  adversarial perturbations
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
Davide Coppola
Hwee Kuan Lee
AAML
246
1
0
31 May 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative
  Perspective
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
Ningsheng Zhao
Jia Yuan Yu
Krzysztof Dzieciolowski
Trang Bui
TDIFAtt
404
2
0
21 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations
CAGE: Causality-Aware Shapley Value for Global Explanations
Nils Ole Breuer
Andreas Sauter
Majid Mohammadi
Erman Acar
FAtt
346
3
0
17 Apr 2024
Causality from Bottom to Top: A Survey
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
312
6
0
17 Mar 2024
Explaining Probabilistic Models with Distributional Values
Explaining Probabilistic Models with Distributional Values
Luca Franceschi
Michele Donini
Cédric Archambeau
Matthias Seeger
FAtt
298
4
0
15 Feb 2024
Succinct Interaction-Aware Explanations
Succinct Interaction-Aware Explanations
Sascha Xu
Joscha Cuppers
Jilles Vreeken
FAtt
417
0
0
08 Feb 2024
Learning to Understand: Identifying Interactions via the Möbius
  Transform
Learning to Understand: Identifying Interactions via the Möbius Transform
Justin Singh Kang
Yigit Efe Erginbas
Landon Butler
Ramtin Pedarsani
Kannan Ramchandran
418
7
0
04 Feb 2024
DiConStruct: Causal Concept-based Explanations through Black-Box
  Distillation
DiConStruct: Causal Concept-based Explanations through Black-Box DistillationCLEaR (CLEaR), 2024
Ricardo Moreira
Jacopo Bono
Mário Cardoso
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
CML
623
8
0
16 Jan 2024
Root Cause Explanation of Outliers under Noisy Mechanisms
Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen
T. Tran
Sunil R. Gupta
Thin Nguyen
Svetha Venkatesh
CML
254
3
0
19 Dec 2023
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing
  Forecasting Models in Badminton
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton
Wei-Yao Wang
Wenjie Peng
Wei Wang
Philip S. Yu
189
1
0
18 Dec 2023
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in
  Machine Learning Models
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Ziqi Li
FAtt
339
92
0
06 Dec 2023
Double Machine Learning Based Structure Identification from Temporal Data
Double Machine Learning Based Structure Identification from Temporal Data
Emmanouil Angelis
Francesco Quinzan
Ashkan Soleymani
Patrick Jaillet
Stefan Bauer
OODCML
536
2
0
10 Nov 2023
Towards Replication-Robust Analytics Markets
Towards Replication-Robust Analytics Markets
Thomas Falconer
J. Kazempour
Pierre Pinson
412
1
0
09 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence
Refutation of Shapley Values for XAI -- Additional Evidence
Xuanxiang Huang
Sasha Rubin
AAML
400
5
0
30 Sep 2023
Towards Best Practices of Activation Patching in Language Models:
  Metrics and Methods
Towards Best Practices of Activation Patching in Language Models: Metrics and MethodsInternational Conference on Learning Representations (ICLR), 2023
Fred Zhang
Neel Nanda
LLMSV
633
229
0
27 Sep 2023
The role of causality in explainable artificial intelligence
The role of causality in explainable artificial intelligence
Gianluca Carloni
Andrea Berti
Sara Colantonio
CMLXAI
336
46
0
18 Sep 2023
Using machine learning to understand causal relationships between urban
  form and travel CO2 emissions across continents
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
Felix Wagner
Florian Nachtigall
Lukas Franken
Nikola Milojevic-Dupont
R. Pereira
Nicolas Koch
J. Runge
Marta C. González
F. Creutzig
AI4CE
287
1
0
31 Aug 2023
Conditional expectation network for SHAP
Conditional expectation network for SHAPSocial Science Research Network (SSRN), 2023
Ronald Richman
M. Wüthrich
FAttBDL
264
5
0
20 Jul 2023
Beyond Single-Feature Importance with ICECREAM
Beyond Single-Feature Importance with ICECREAMCLEaR (CLEaR), 2023
M.-J. Oesterle
Patrick Blobaum
Atalanti A. Mastakouri
Elke Kirschbaum
CML
425
2
0
19 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and
  Counterfactual Explanations
On the Connection between Game-Theoretic Feature Attributions and Counterfactual ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Emanuele Albini
Sanjay Kariyappa
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
316
5
0
13 Jul 2023
Shapley Sets: Feature Attribution via Recursive Function Decomposition
Shapley Sets: Feature Attribution via Recursive Function Decomposition
Torty Sivill
Peter A. Flach
FAttTDI
323
2
0
04 Jul 2023
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic
  Recourse
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse
Jenny Hamer
Jake Valladares
Vignesh Viswanathan
Yair Zick
301
2
0
27 Jun 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
PWSHAP: A Path-Wise Explanation Model for Targeted VariablesInternational Conference on Machine Learning (ICML), 2023
Lucile Ter-Minassian
Oscar Clivio
Karla Diaz-Ordaz
R. Evans
Chris Holmes
314
3
0
26 Jun 2023
Feature Interactions Reveal Linguistic Structure in Language Models
Feature Interactions Reveal Linguistic Structure in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jaap Jumelet
Willem H. Zuidema
FAtt
299
10
0
21 Jun 2023
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
Maximilian Muschalik
Fabian Fumagalli
Rohit Jagtani
Barbara Hammer
Eyke Hüllermeier
274
14
0
13 Jun 2023
DRCFS: Doubly Robust Causal Feature Selection
DRCFS: Doubly Robust Causal Feature SelectionInternational Conference on Machine Learning (ICML), 2023
Francesco Quinzan
Ashkan Soleymani
Patrik Jaillet
C. Rojas
Stefan Bauer
530
18
0
12 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley
  Values
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesNeural Information Processing Systems (NeurIPS), 2023
David S. Watson
Joshua O'Hara
Niek Tax
Richard Mudd
Ido Guy
TDIFAtt
359
45
0
09 Jun 2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor
  Variables
Theoretical Behavior of XAI Methods in the Presence of Suppressor VariablesInternational Conference on Machine Learning (ICML), 2023
Rick Wilming
Leo Kieslich
Benedict Clark
Stefan Haufe
214
17
0
02 Jun 2023
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