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"

7 / 7 papers shown

Title
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization Keita Kinjo 29 1 0 10 Jan 2025
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 29 0 0 10 Oct 2024
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 11 2 0 28 Apr 2023
Distributionally Robust Recourse Action D. Nguyen Ngoc H. Bui Viet Anh Nguyen 31 6 0 22 Feb 2023
Counterfactual Plans under Distributional Ambiguity N. Bui D. Nguyen Viet Anh Nguyen 54 24 0 29 Jan 2022
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 34 31 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 70 82 0 13 Oct 2020