Algorithmic Recourse: from Counterfactual Explanations to Interventions

14 February 2020

Papers citing "Algorithmic Recourse: from Counterfactual Explanations to Interventions"

50 / 71 papers shown

Title
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Gregoire Fournier Sourav Medya BDL 44 0 0 11 May 2025
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 43 0 0 05 May 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 119 0 0 28 Feb 2025
Understanding Fixed Predictions via Confined Regions Connor Lawless Tsui-Wei Weng Berk Ustun Madeleine Udell 48 0 0 22 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 71 15 0 10 Jan 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 45 0 0 29 Oct 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 28 0 0 22 Sep 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 13 0 0 04 Sep 2024
An Actionability Assessment Tool for Explainable AI Ronal Singh Tim Miller L. Sonenberg Eduardo Velloso F. Vetere Piers Howe Paul Dourish 27 2 0 19 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 60 3 0 10 Jun 2024
Counterfactual Explanations for Multivariate Time-Series without Training Datasets Xiangyu Sun Raquel Aoki Kevin H. Wilson 19 1 0 28 May 2024
Trustworthy Actionable Perturbations Jesse Friedbaum S. Adiga Ravi Tandon AAML 38 2 0 18 May 2024
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 28 0 0 25 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 32 5 0 04 Apr 2024
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 11 0 0 08 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Jakub Marecek TPM 73 0 0 25 Jan 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 30 4 0 21 Nov 2023
Endogenous Macrodynamics in Algorithmic Recourse Patrick Altmeyer Giovan Angela Aleksander Buszydlik Karol Dobiczek A. V. Deursen Cynthia C. S. Liem 19 7 0 16 Aug 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 34 2 0 14 Aug 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 32 5 0 05 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 27 1 0 29 May 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 25 2 0 28 Apr 2023
counterfactuals: An R Package for Counterfactual Explanation Methods Susanne Dandl Andreas Hofheinz Martin Binder B. Bischl Giuseppe Casalicchio 24 2 0 13 Apr 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 19 13 0 23 Feb 2023
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction Tom Yan Shantanu Gupta Zachary Chase Lipton CML 23 1 0 14 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 11 7 0 07 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 37 3 0 07 Feb 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 17 67 0 12 Jan 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Counterfactual Explanations for Support Vector Machine Models S. Salazar Samuel Denton Ansaf Salleb-Aouissi AAML FAtt 18 2 0 14 Dec 2022
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 18 1 0 21 Nov 2022
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 35 16 0 01 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 32 8 0 21 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 27 52 0 16 Oct 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 44 10 0 22 Sep 2022
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs Vinitra Swamy Bahar Radmehr Natasa Krco Mirko Marras Tanja Kaser FAtt ELM 11 39 0 01 Jul 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 20 24 0 05 Jun 2022
Causal Explanations for Sequential Decision Making Under Uncertainty Samer B. Nashed Saaduddin Mahmud C. V. Goldman S. Zilberstein CML 38 4 0 30 May 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 25 22 0 21 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 28 45 0 01 Apr 2022
Causal Explanations and XAI Sander Beckers CML XAI 13 34 0 31 Jan 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 26 77 0 25 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 Jan 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De Toni Bruno Lepri Andrea Passerini CML 25 13 0 18 Jan 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 43 63 0 21 Dec 2021
Counterfactual Explanations for Models of Code Jürgen Cito Işıl Dillig V. Murali S. Chandra AAML LRM 24 47 0 10 Nov 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 26 49 0 27 Oct 2021
Multi-Agent Algorithmic Recourse Andrew O'Brien Edward J. Kim 26 5 0 01 Oct 2021
Counterfactual Instances Explain Little Adam White Artur Garcez CML 27 5 0 20 Sep 2021