Feature relevance quantification in explainable AI: A causal problem

29 October 2019

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

50 / 61 papers shown

Title
Suboptimal Shapley Value Explanations Xiaolei Lu FAtt 65 0 0 17 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 83 16 0 10 Jan 2025
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry Supriya Manna Niladri Sett 186 0 0 30 Dec 2024
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 52 1 0 22 Dec 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 54 0 0 10 Oct 2024
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 38 0 0 08 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 55 2 0 02 Oct 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 39 2 0 15 Feb 2024
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 24 0 0 08 Feb 2024
Root Cause Explanation of Outliers under Noisy Mechanisms Phuoc Nguyen T. Tran Sunil R. Gupta Thin Nguyen Svetha Venkatesh CML 24 1 0 19 Dec 2023
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods Fred Zhang Neel Nanda LLMSV 38 101 0 27 Sep 2023
Conditional expectation network for SHAP Ronald Richman M. Wüthrich FAtt BDL 21 3 0 20 Jul 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 40 1 0 19 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
Shapley Sets: Feature Attribution via Recursive Function Decomposition Torty Sivill Peter A. Flach FAtt TDI 11 1 0 04 Jul 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian Oscar Clivio Karla Diaz-Ordaz R. Evans Chris Holmes 26 1 0 26 Jun 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 33 0 0 24 Mar 2023
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features Konstandinos Kotsiopoulos A. Miroshnikov Khashayar Filom Arjun Ravi Kannan FAtt 23 3 0 17 Mar 2023
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression Yannick Gerstorfer Lena Krieg Max Hahn-Klimroth 18 5 0 02 Mar 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 22 3 0 16 Feb 2023
On Learning Necessary and Sufficient Causal Graphs Hengrui Cai Yixin Wang Michael Jordan Rui Song CML 36 12 0 29 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 30 4 0 15 Jan 2023
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 25 68 0 22 Dec 2022
$Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization$ Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization Qingyao Sun 34 2 0 08 Nov 2022
Shapley Computations Using Surrogate Model-Based Trees Zhipu Zhou Jie Chen Linwei Hu 19 0 0 11 Jul 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models Patrick Blobaum P. Götz Kailash Budhathoki Atalanti A. Mastakouri Dominik Janzing 33 50 0 14 Jun 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 41 27 0 06 May 2022
Maximum Entropy Baseline for Integrated Gradients Hanxiao Tan FAtt 24 4 0 12 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 48 43 0 06 Apr 2022
Sensing accident-prone features in urban scenes for proactive driving and accident prevention Sumit Mishra Praveenbalaji Rajendran L. Vecchietti Dongsoo Har 19 13 0 25 Feb 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 39 77 0 25 Jan 2022
Exact Shapley Values for Local and Model-True Explanations of Decision Tree Ensembles Thomas W. Campbell H. Roder R. Georgantas J. Roder FedML TDI FAtt 24 16 0 16 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 47 55 0 05 Dec 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning Sindre Benjamin Remman Inga Strümke A. Lekkas CML 17 7 0 04 Nov 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 28 49 0 27 Oct 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 26 16 0 18 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald Mathieu Besançon Sebastian Pokutta 32 12 0 15 Oct 2021
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees Jilei Yang FAtt 33 35 0 20 Sep 2021
Model Explanations via the Axiomatic Causal Lens Gagan Biradar Vignesh Viswanathan Yair Zick XAI CML 25 1 0 08 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf Adam Karczmarz A. Mukherjee Piotr Sankowski Piotr Wygocki FAtt TDI 30 6 0 09 Aug 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 28 39 0 24 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 37 65 0 23 Jun 2021
Rational Shapley Values David S. Watson 23 20 0 18 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 29 91 0 01 Jun 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 38 32 0 25 May 2021
The Shapley Value of coalition of variables provides better explanations Salim I. Amoukou Nicolas Brunel Tangi Salaun FAtt TDI 21 5 0 24 Mar 2021
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 50 243 0 21 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods Ian Covert Scott M. Lundberg Su-In Lee FAtt 33 33 0 06 Nov 2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models Tom Heskes E. Sijben I. G. Bucur Tom Claassen FAtt TDI 14 149 0 03 Nov 2020