Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models

3 November 2020

Papers citing "Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models"

50 / 77 papers shown

Title
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals Marouane Il Idrissi Agathe Fernandes Machado Ewen Gallic Arthur Charpentier 17 0 0 19 May 2025
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks M Ruhul Amin 12 0 0 17 May 2025
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 43 0 0 05 May 2025
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
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Martin Jullum Lars Henry Berge Olsen Jon Lachmann Annabelle Redelmeier TDI FAtt 79 2 0 02 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 the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 86 16 0 10 Jan 2025
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 80 0 0 11 Nov 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 33 0 0 21 Oct 2024
Structural Causality-based Generalizable Concept Discovery Models Sanchit Sinha Guangzhi Xiong Aidong Zhang CML DRL 36 0 0 20 Oct 2024
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 40 0 0 16 Oct 2024
Group Shapley Value and Counterfactual Simulations in a Structural Model Yongchan Kwon Sokbae Lee Guillaume A. Pouliot 30 0 0 09 Oct 2024
CoLiDR: Concept Learning using Aggregated Disentangled Representations Sanchit Sinha Guangzhi Xiong Aidong Zhang 42 1 0 27 Jul 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 43 2 0 01 Jun 2024
CAGE: Causality-Aware Shapley Value for Global Explanations Nils Ole Breuer Andreas Sauter Majid Mohammadi Erman Acar FAtt 47 3 0 17 Apr 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 47 1 0 17 Mar 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 45 1 0 13 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 39 2 0 15 Feb 2024
SyntaxShap: Syntax-aware Explainability Method for Text Generation Kenza Amara Rita Sevastjanova Mennatallah El-Assady 44 2 0 14 Feb 2024
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 29 0 0 08 Feb 2024
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating Daisuke Takahashi Shohei Shimizu Takuma Tanaka CML 55 1 0 05 Feb 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 33 5 0 16 Jan 2024
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework Fabrizio Russo Francesca Toni 36 0 0 18 Dec 2023
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models Ziqi Li FAtt 21 19 0 06 Dec 2023
The WHY in Business Processes: Discovery of Causal Execution Dependencies Fabiana Fournier Lior Limonad Inna Skarbovsky Yuval David 25 2 0 23 Oct 2023
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs Stelios Triantafyllou A. Sukovic Debmalya Mandal Goran Radanović 29 0 0 17 Oct 2023
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis Domokos M. Kelen Mihaly Petreczky Péter Kersch András A. Benczúr FAtt 44 3 0 15 Oct 2023
A New Baseline Assumption of Integated Gradients Based on Shaply value Shuyang Liu Zixuan Chen Ge Shi Ji Wang Changjie Fan Yu Xiong Runze Wu Yujing Hu Ze Ji Yang Gao 23 3 0 07 Oct 2023
The role of causality in explainable artificial intelligence Gianluca Carloni Andrea Berti Sara Colantonio CML XAI 53 7 0 18 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 39 7 0 15 Sep 2023
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 28 1 0 31 Aug 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 45 1 0 19 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
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 39 22 0 09 Jun 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 58 11 0 24 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 54 12 0 16 May 2023
CIMLA: Interpretable AI for inference of differential causal networks Payam Dibaeinia S. Sinha CML 34 0 0 25 Apr 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 45 3 0 06 Apr 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 36 0 0 24 Mar 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 35 1 0 07 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 47 3 0 07 Feb 2023
Manifold Restricted Interventional Shapley Values Muhammad Faaiz Taufiq Patrick Blobaum Lenon Minorics FAtt 17 8 0 10 Jan 2023
Understanding electricity prices beyond the merit order principle using explainable AI Julius Trebbien L. R. Gorjão Aaron Praktiknjo B. Schäfer D. Witthaut 21 25 0 09 Dec 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 41 0 0 26 Nov 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 39 15 0 27 Oct 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Zou TDI FAtt 29 33 0 27 Sep 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 79 37 0 08 Sep 2022
The Counterfactual-Shapley Value: Attributing Change in System Metrics Amit Sharma Hua Li Jian Jiao 32 2 0 17 Aug 2022
Algorithms to estimate Shapley value feature attributions Hugh Chen Ian Covert Scott M. Lundberg Su-In Lee TDI FAtt 31 214 0 15 Jul 2022