Counterfactual Shapley Additive Explanations

27 October 2021

Papers citing "Counterfactual Shapley Additive Explanations"

21 / 21 papers shown

Title
Generally-Occurring Model Change for Robust Counterfactual Explanations Ao Xu Tieru Wu AAML 23 2 0 16 Jul 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
The Disagreement Problem in Faithfulness Metrics Brian Barr Noah Fatsi Leif Hancox-Li Peter Richter Daniel Proano Caleb Mok 23 3 0 13 Nov 2023
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Yiming Li Daling Wang Wenfang Wu Shi Feng Yifei Zhang CML 29 1 0 28 Sep 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang João Marques-Silva FAtt 11 3 0 06 Sep 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 38 2 0 13 Jul 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees Faisal Hamman Erfaun Noorani Saumitra Mishra Daniele Magazzeni Sanghamitra Dutta OOD AAML 19 32 0 19 May 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 21 1 0 07 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 6 2 0 03 Mar 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang João Marques-Silva FAtt 16 39 0 16 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 13 31 0 07 Feb 2023
Bayesian Hierarchical Models for Counterfactual Estimation Natraj Raman Daniele Magazzeni Sameena Shah 16 5 0 21 Jan 2023
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 53 33 0 08 Sep 2022
On the Trade-Off between Actionable Explanations and the Right to be Forgotten Martin Pawelczyk Tobias Leemann Asia J. Biega Gjergji Kasneci FaML MU 19 23 0 30 Aug 2022
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence Isha Hameed Samuel Sharpe Daniel Barcklow Justin Au-yeung Sahil Verma Jocelyn Huang Brian Barr C. B. Bruss 17 14 0 12 Jul 2022
Robust Counterfactual Explanations for Tree-Based Ensembles Sanghamitra Dutta Jason Long Saumitra Mishra Cecilia Tilli Daniele Magazzeni 11 51 0 06 Jul 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 11 8 0 25 May 2022
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations Barry Smyth Mark T. Keane CML 32 26 0 22 Jan 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 19 106 0 20 Oct 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 70 82 0 13 Oct 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 131 46 0 08 Feb 2020