Counterfactual Plans under Distributional Ambiguity

29 January 2022

Papers citing "Counterfactual Plans under Distributional Ambiguity"

21 / 21 papers shown

Title
Model-Free Counterfactual Subset Selection at Scale Minh Nguyen Viet Hung Doan Anh Tuan Nguyen Jun Jo Quoc Viet Hung Nguyen LRM 42 0 0 12 Feb 2025
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 25 1 0 21 Apr 2024
Verified Training for Counterfactual Explanation Robustness under Data Shift Anna P. Meyer Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML OOD 38 2 0 06 Mar 2024
Robust Counterfactual Explanations in Machine Learning: A Survey Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni OffRL CML 15 10 0 02 Feb 2024
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report) Junqi Jiang Antonio Rago Francesco Leofante Francesca Toni 10 7 0 22 Dec 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation Junqi Jiang Jianglin Lan Francesco Leofante Antonio Rago Francesca Toni OOD 18 7 0 22 Sep 2023
Estimation of Counterfactual Interventions under Uncertainties Juliane Weilbach S. Gerwinn M. Kandemir Martin Fraenzle 16 0 0 15 Sep 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 11 1 0 13 Jul 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 21 5 0 11 Jun 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 16 1 0 18 May 2023
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 8 9 0 10 May 2023
Feasible Recourse Plan via Diverse Interpolation D. Nguyen Ngoc H. Bui Viet Anh Nguyen 8 6 0 22 Feb 2023
Distributionally Robust Recourse Action D. Nguyen Ngoc H. Bui Viet Anh Nguyen 26 6 0 22 Feb 2023
Finding Regions of Counterfactual Explanations via Robust Optimization Donato Maragno Jannis Kurtz Tabea E. Rober Rob Goedhart cS. .Ilker Birbil D. Hertog 42 21 0 26 Jan 2023
Bayesian Hierarchical Models for Counterfactual Estimation Natraj Raman Daniele Magazzeni Sameena Shah 8 5 0 21 Jan 2023
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations Vy Vo Trung Le Van Nguyen He Zhao Edwin V. Bonilla Gholamreza Haffari Dinh Q. Phung CML 32 13 0 27 Sep 2022
Robust Bayesian Recourse Tuan-Duy H. Nguyen Ngoc H. Bui D. Nguyen Man-Chung Yue Viet Anh Nguyen 6 13 0 22 Jun 2022
Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles Alexandre Forel Axel Parmentier Thibaut Vidal 8 1 0 27 May 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 25 62 0 21 Dec 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 6 106 0 20 Oct 2020
Determinantal point processes for machine learning Alex Kulesza B. Taskar 146 1,045 0 25 Jul 2012