Counterfactual Explanations for Arbitrary Regression Models

Counterfactual Explanations for Arbitrary Regression Models

29 June 2021

Danial Dervovic

Daniele Magazzeni

Papers citing "Counterfactual Explanations for Arbitrary Regression Models"

18 / 18 papers shown

Title
Diffusion Counterfactuals for Image Regressors Trung Duc Ha Sidney Bender DiffM 82 0 0 26 Mar 2025
Relevance-aware Algorithmic Recourse Dongwhi Kim Nuno Moniz 18 0 0 29 May 2024
Counterfactual Metarules for Local and Global Recourse Tom Bewley Salim I. Amoukou Saumitra Mishra Daniele Magazzeni Manuela Veloso 24 1 0 29 May 2024
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting Rushan Wang Yanan Xin Yatao Zhang Fernando Pérez-Cruz Martin Raubal AI4TS 19 3 0 01 May 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals Patrick Altmeyer Mojtaba Farmanbar A. V. Deursen Cynthia C. S. Liem 12 2 0 17 Dec 2023
Counterfactual Explanation for Regression via Disentanglement in Latent Space Xuan Zhao Klaus Broelemann Gjergji Kasneci OOD CML BDL 13 1 0 14 Nov 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
Unveiling the Potential of Counterfactuals Explanations in Employability Raphael Mazzine Barbosa de Oliveira S. Goethals Dieter Brughmans David Martens 11 2 0 17 May 2023
Counterfactual Explanations of Neural Network-Generated Response Curves Giorgio Morales John W. Sheppard 6 1 0 08 Apr 2023
On the Privacy Risks of Algorithmic Recourse Martin Pawelczyk Himabindu Lakkaraju Seth Neel 11 30 0 10 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 9 1 0 03 Nov 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
Robust Counterfactual Explanations for Tree-Based Ensembles Sanghamitra Dutta Jason Long Saumitra Mishra Cecilia Tilli Daniele Magazzeni 11 52 0 06 Jul 2022
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse Martin Pawelczyk Teresa Datta Johannes van-den-Heuvel Gjergji Kasneci Himabindu Lakkaraju 19 37 0 13 Mar 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 20 63 0 21 Dec 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 16 49 0 27 Oct 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 16 36 0 22 Oct 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