CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations

18 August 2021

Papers citing "CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations"

12 / 12 papers shown

Title
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control Oleksii Furman Ulvi Movsum-zada Patryk Marszalek Maciej Ziȩba Marek Śmieja BDL 25 0 0 29 May 2025
Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities M. Domnich Rasmus Moorits Veski Julius Valja Kadi Tulver Raul Vicente FAtt 95 0 0 07 Apr 2025
Flexible Counterfactual Explanations with Generative Models Stig Hellemans Andres Algaba Sam Verboven Vincent Ginis 78 0 0 24 Feb 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 110 4 0 28 Oct 2024
An Actionability Assessment Tool for Explainable AI Ronal Singh Tim Miller L. Sonenberg Eduardo Velloso F. Vetere Piers Howe Paul Dourish 38 2 0 19 Jun 2024
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 100 0 0 25 Apr 2024
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence M. Domnich Raul Vicente 62 3 0 19 Apr 2024
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 76 1 0 28 Sep 2023
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 57 13 0 10 May 2023
Transport-based Counterfactual Models Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 52 31 0 30 Aug 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 178 176 0 20 Oct 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,178 0 16 Feb 2016