Algorithms to estimate Shapley value feature attributions

15 July 2022

Papers citing "Algorithms to estimate Shapley value feature attributions"

20 / 20 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 49 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 64 0 0 29 Apr 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 63 0 0 24 Feb 2025
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data Mohammad Noorchenarboo Katarina Grolinger 36 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 37 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 95 0 0 02 Dec 2024
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 63 2 0 07 Oct 2024
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review Mohsen Azarmi Mahdi Rezaei He Wang Ali Arabian 24 1 0 11 Sep 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 44 3 0 26 Jun 2024
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold Yinzhu Jin Matthew B. Dwyer P. T. Fletcher MedIm 19 0 0 18 Apr 2024
Manifold-based Shapley for SAR Recognization Network Explanation Xuran Hu Mingzhe Zhu Yuanjing Liu Zhenpeng Feng Ljubiša Stanković FAtt GAN 15 3 0 06 Jan 2024
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology Naofumi Hama 34 0 0 15 Oct 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 21 3 0 17 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
Shapley Curves: A Smoothing Perspective Ratmir Miftachov Georg Keilbar Wolfgang Karl Härdle FAtt 30 1 0 23 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 25 7 0 22 Oct 2022
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees Jilei Yang FAtt 31 35 0 20 Sep 2021
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 59 122 0 15 Jul 2021
A Multilinear Sampling Algorithm to Estimate Shapley Values Ramin Okhrati Aldo Lipani TDI FAtt 70 38 0 22 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,681 0 28 Feb 2017