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Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

6 December 2019

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Papers citing "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

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GAM Coach: Towards Interactive and User-centered Algorithmic RecourseInternational Conference on Human Factors in Computing Systems (CHI), 2023 Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 311 26 0 27 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 309 26 0 14 Feb 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be ForgottenInternational Conference on Machine Learning (ICML), 2023 Satyapriya Krishna Jiaqi Ma Himabindu Lakkaraju 274 14 0 08 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Helen Zhou 186 39 0 07 Feb 2023
Finding Regions of Counterfactual Explanations via Robust OptimizationINFORMS journal on computing (IJOC), 2023 Donato Maragno Jannis Kurtz Tabea E. Rober Rob Goedhart cS. .Ilker Birbil D. Hertog 508 26 0 26 Jan 2023
Bayesian Hierarchical Models for Counterfactual EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Natraj Raman Daniele Magazzeni Sameena Shah 160 7 0 21 Jan 2023
Rationalizing Predictions by Adversarial Information CalibrationArtificial Intelligence (AI), 2022 Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 165 9 0 15 Jan 2023
Evaluating counterfactual explanations using Pearl's counterfactual method Bevan I. Smith CML 152 1 0 06 Jan 2023
On the Privacy Risks of Algorithmic RecourseInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Martin Pawelczyk Himabindu Lakkaraju Seth Neel 162 37 0 10 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 133 1 0 03 Nov 2022
Backtracking CounterfactualsCLEaR (CLEaR), 2022 Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 291 26 0 01 Nov 2022
Improvement-Focused Causal Recourse (ICR)AAAI Conference on Artificial Intelligence (AAAI), 2022 Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 211 19 0 27 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Jasmina Gajcin Ivana Dusparic CML OffRL 350 19 0 21 Oct 2022
CLEAR: Generative Counterfactual Explanations on GraphsNeural Information Processing Systems (NeurIPS), 2022 Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 174 61 0 16 Oct 2022
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints Homayun Afrabandpey Michael Spranger 104 0 0 12 Oct 2022
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsKnowledge Discovery and Data Mining (KDD), 2022 Vy Vo Trung Le Van Nguyen He Zhao Edwin V. Bonilla Gholamreza Haffari Dinh Q. Phung CML 260 15 0 27 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 289 13 0 22 Sep 2022
Formalising the Robustness of Counterfactual Explanations for Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni AAML 294 30 0 31 Aug 2022
On the Trade-Off between Actionable Explanations and the Right to be ForgottenInternational Conference on Learning Representations (ICLR), 2022 Martin Pawelczyk Tobias Leemann Asia J. Biega Gjergji Kasneci FaML MU 356 26 0 30 Aug 2022
An Additive Instance-Wise Approach to Multi-class Model InterpretationInternational Conference on Learning Representations (ICLR), 2022 Vy Vo Van Nguyen Trung Le Quan Hung Tran Gholamreza Haffari S. Çamtepe Dinh Q. Phung FAtt 217 5 0 07 Jul 2022
Framing Algorithmic Recourse for Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2022 Debanjan Datta F. Chen Naren Ramakrishnan 188 5 0 29 Jun 2022
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces Kamran Alipour Aditya Lahiri Ehsan Adeli Babak Salimi M. Pazzani CML 146 7 0 10 Jun 2022
Diffeomorphic Counterfactuals with Generative ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 293 22 0 10 Jun 2022
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse ModelInternational Conference on Information and Knowledge Management (CIKM), 2022 Hangzhi Guo Feiran Jia Jinghui Chen Anna Squicciarini A. Yadav OOD 344 13 0 01 Jun 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation Wenzhuo Yang Jia Li Caiming Xiong Guosheng Lin CML 217 14 0 31 May 2022
Don't Explain Noise: Robust Counterfactuals for Randomized EnsemblesIntegration of AI and OR Techniques in Constraint Programming (CP-AI-OR), 2022 Alexandre Forel Axel Parmentier Thibaut Vidal 242 3 0 27 May 2022
Personalized Algorithmic Recourse with Preference Elicitation Giovanni De Toni P. Viappiani Stefano Teso Bruno Lepri Baptiste Caramiaux 496 11 0 27 May 2022
Integrating Prior Knowledge in Post-hoc ExplanationsInternational Conference on Information Processing and Management of Uncertainty (IPMU), 2022 Adulam Jeyasothy Thibault Laugel Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki 75 7 0 25 Apr 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 145 27 0 21 Apr 2022
Global Counterfactual Explanations: Investigations, Implementations and Improvements Dan Ley Saumitra Mishra Daniele Magazzeni LRM 168 13 0 14 Apr 2022
Cycle-Consistent Counterfactuals by Latent TransformationsComputer Vision and Pattern Recognition (CVPR), 2022 Saeed Khorram Li Fuxin BDL 134 40 0 28 Mar 2022
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic RecourseInternational Conference on Learning Representations (ICLR), 2022 Martin Pawelczyk Teresa Datta Johannes van-den-Heuvel Gjergji Kasneci Himabindu Lakkaraju 373 42 0 13 Mar 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter DataAAAI Conference on Artificial Intelligence (AAAI), 2022 Dilini Sewwandi Rajapaksha Christoph Bergmeir AI4TS 169 19 0 15 Feb 2022
Causal Explanations and XAICLEaR (CLEaR), 2022 Sander Beckers CML XAI 264 44 0 31 Jan 2022
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 268 66 0 17 Dec 2021
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty EstimatesAAAI Conference on Artificial Intelligence (AAAI), 2021 Dan Ley Umang Bhatt Adrian Weller UQCV 432 25 0 05 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 133 10 0 02 Dec 2021
On Quantitative Evaluations of Counterfactuals Frederik Hvilshoj Alexandros Iosifidis Ira Assent 207 11 0 30 Oct 2021
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 145 55 0 06 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 513 935 0 05 Oct 2021
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations Hangzhi Guo T. Nguyen A. Yadav OffRL 142 21 0 15 Sep 2021
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML CML HAI 82 24 0 12 Sep 2021
Model Explanations via the Axiomatic Causal Lens Gagan Biradar Vignesh Viswanathan Yair Zick XAI CML 488 1 0 08 Sep 2021
Transport-based Counterfactual ModelsJournal of machine learning research (JMLR), 2021 Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 250 36 0 30 Aug 2021
Longitudinal Distance: Towards Accountable Instance Attribution Rosina O. Weber Prateek Goel S. Amiri G. Simpson 143 1 0 23 Aug 2021
CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations P. Rasouli Ingrid Chieh Yu 113 32 0 18 Aug 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms Martin Pawelczyk Sascha Bielawski J. V. D. Heuvel Tobias Richter Gjergji Kasneci CML 229 118 0 02 Aug 2021
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions Eoin Delaney Derek Greene Mark T. Keane 201 26 0 20 Jul 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular DataApplied Sciences (AS), 2021 Raphael Mazzine David Martens 180 35 0 09 Jul 2021
Counterfactual Explanations for Arbitrary Regression Models Thomas Spooner Danial Dervovic Jason Long Jon Shepard Jiahao Chen Daniele Magazzeni 164 30 0 29 Jun 2021