Generating robust counterfactual explanations

24 April 2023

Papers citing "Generating robust counterfactual explanations"

8 / 8 papers shown

Title
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations Luca Marzari Francesco Leofante Ferdinando Cicalese Alessandro Farinelli OOD 54 3 0 10 Jul 2024
On the Robustness of Global Feature Effect Explanations Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek 26 2 0 13 Jun 2024
Robust Counterfactual Explanations in Machine Learning: A Survey Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni OffRL CML 28 10 0 02 Feb 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity Andrew Bell João Fonseca Carlo Abrate Francesco Bonchi Julia Stoyanovich FaML 33 2 0 29 Jan 2024
Setting the Right Expectations: Algorithmic Recourse Over Time João Fonseca Andrew Bell Carlo Abrate Francesco Bonchi Julia Stoyanovich 22 7 0 13 Sep 2023
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers Vincent Lemaire Nathan Le Boudec Victor Guyomard Franccoise Fessant CML 23 0 0 08 Sep 2023
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 52 43 0 06 Oct 2021
Issues with post-hoc counterfactual explanations: a discussion Thibault Laugel Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 104 44 0 11 Jun 2019