Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

25 March 2019

Papers citing "Explaining individual predictions when features are dependent: More accurate approximations to Shapley values"

50 / 84 papers shown

Title
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling David Svensson Erik Hermansson N. Nikolaou Konstantinos Sechidis Ilya Lipkovich CML 61 0 0 02 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 66 0 0 29 Apr 2025
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model Fredrik Lohne Aanes FAtt 62 0 0 25 Apr 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 57 0 0 18 Feb 2025
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data Mohammad Noorchenarboo Katarina Grolinger 49 1 0 10 Jan 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 55 1 0 22 Dec 2024
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 105 0 0 02 Dec 2024
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 38 0 0 08 Oct 2024
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 77 2 0 07 Oct 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 38 1 0 22 Sep 2024
On the influence of dependent features in classification problems: a game-theoretic perspective Laura Davila-Pena Alejandro Saavedra-Nieves Balbina Casas-Méndez TDI FAtt 23 0 0 05 Aug 2024
Explaining a probabilistic prediction on the simplex with Shapley compositions Paul-Gauthier Noé Miquel Perelló Nieto J. Bonastre Peter Flach TDI FAtt 41 0 0 02 Aug 2024
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI Kaveen Hiniduma Suren Byna J. L. Bez Ravi Madduri 58 5 0 27 Jun 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 53 3 0 26 Jun 2024
Partial Information Decomposition for Data Interpretability and Feature Selection Charles Westphal Stephen Hailes Mirco Musolesi 40 0 0 29 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 66 2 0 25 Apr 2024
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models Maria Heuss Maarten de Rijke Avishek Anand 202 1 0 24 Mar 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 42 1 0 13 Mar 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 46 7 0 07 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 39 2 0 15 Feb 2024
Manifold-based Shapley for SAR Recognization Network Explanation Xuran Hu Mingzhe Zhu Yuanjing Liu Zhenpeng Feng Ljubiša Stanković FAtt GAN 20 3 0 06 Jan 2024
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 28 1 0 27 Sep 2023
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features Igor Cherepanov D. Sessler Alex Ulmer Hendrik Lücke-Tieke Jörn Kohlhammer FAtt 29 0 0 29 Jul 2023
Conditional expectation network for SHAP Ronald Richman M. Wüthrich FAtt BDL 24 3 0 20 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 31 1 0 26 Jun 2023
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? A. Brankovic David Cook Jessica Rahman Wenjie Huang Sankalp Khanna 31 1 0 21 Jun 2023
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME Ahmed M. A. Salih Z. Raisi-Estabragh I. Galazzo Petia Radeva Steffen E. Petersen Gloria Menegaz Karim Lekadir FAtt 35 91 0 03 May 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
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Z. Kong Kwan-Liu Ma AAML FAtt 43 2 0 01 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
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 25 68 0 22 Dec 2022
Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring Hué Sullivan Hurlin Christophe Pérignon Christophe Saurin Sébastien 15 0 0 12 Dec 2022
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 29 4 0 06 Dec 2022
Shapley Curves: A Smoothing Perspective Ratmir Miftachov Georg Keilbar Wolfgang Karl Härdle FAtt 45 1 0 23 Nov 2022
Model free variable importance for high dimensional data Naofumi Hama Masayoshi Mase Art B. Owen 29 1 0 15 Nov 2022
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values Amin Nayebi Sindhu Tipirneni Chandan K. Reddy Brandon Foreman V. Subbian FAtt AI4TS 21 19 0 11 Nov 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
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 40 27 0 03 Nov 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 34 7 0 22 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 28 5 0 10 Oct 2022
Local Interpretable Model Agnostic Shap Explanations for machine learning models P. Aditya M. Pal FAtt 39 6 0 10 Oct 2022
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death Joshua C. Chang Ted L. Chang Carson C. Chow R. Mahajan Sonya Mahajan Joe Maisog Shashaank Vattikuti Hongjing Xia FAtt OOD 37 0 0 28 Aug 2022
SurvSHAP(t): Time-dependent explanations of machine learning survival models Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek FAtt AI4TS 36 76 0 23 Aug 2022
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation Andrew Herren P. R. Hahn FAtt 27 9 0 21 Aug 2022
Shapley Computations Using Surrogate Model-Based Trees Zhipu Zhou Jie Chen Linwei Hu 19 0 0 11 Jul 2022
Attention Flows for General Transformers Niklas Metzger Christopher Hahn Julian Siber Frederik Schmitt Bernd Finkbeiner 44 0 0 30 May 2022
REPID: Regional Effect Plots with implicit Interaction Detection J. Herbinger Bernd Bischl Giuseppe Casalicchio FAtt 21 15 0 15 Feb 2022
Socioeconomic disparities and COVID-19: the causal connections Tannista Banerjee Ayan Paul Vishak Srikanth Inga Strümke 14 2 0 18 Jan 2022