Robust Counterfactual Explanations in Machine Learning: A Survey

Robust Counterfactual Explanations in Machine Learning: A Survey

2 February 2024

Francesco Leofante

Francesca Toni

Papers citing "Robust Counterfactual Explanations in Machine Learning: A Survey"

12 / 12 papers shown

Title
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures Erfaun Noorani Pasan Dissanayake Faisal Hamman Sanghamitra Dutta 46 0 0 11 Mar 2025
RobustX: Robust Counterfactual Explanations Made Easy Junqi Jiang Luca Marzari Aaryan Purohit Francesco Leofante CML 53 0 0 20 Feb 2025
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization Keita Kinjo 34 1 0 10 Jan 2025
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 37 0 0 10 Oct 2024
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations Luca Marzari Francesco Leofante Ferdinando Cicalese Alessandro Farinelli OOD 46 3 0 10 Jul 2024
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference Xuehao Zhai Junqi Jiang Adam Dejl Antonio Rago Fangce Guo Francesca Toni Aruna Sivakumar 39 0 0 19 Jun 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 38 1 0 21 Apr 2024
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 28 2 0 28 Apr 2023
Distributionally Robust Recourse Action D. Nguyen Ngoc H. Bui Viet Anh Nguyen 34 6 0 22 Feb 2023
Counterfactual Plans under Distributional Ambiguity N. Bui D. Nguyen Viet Anh Nguyen 56 24 0 29 Jan 2022
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 46 43 0 06 Oct 2021
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 80 82 0 13 Oct 2020