Algorithmic Recourse: from Counterfactual Explanations to Interventions

14 February 2020

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

50 / 200 papers shown

Title
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Gregoire Fournier Sourav Medya BDL 44 0 0 11 May 2025
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 38 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 131 0 0 28 Feb 2025
Flexible Counterfactual Explanations with Generative Models Stig Hellemans Andres Algaba Sam Verboven Vincent Ginis 33 0 0 24 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 76 15 0 10 Jan 2025
CoGS: Model Agnostic Causality Constrained Counterfactual Explanations using goal-directed ASP Sopam Dasgupta Joaquín Arias Elmer Salazar Gopal Gupta CML LRM 16 0 0 30 Oct 2024
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
Understanding with toy surrogate models in machine learning Andrés Páez SyDa 24 0 0 08 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions Helena Lofstrom Tuwe Löfström Johan Hallberg Szabadvary 33 0 0 07 Oct 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 31 1 0 22 Sep 2024
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations Zhicheng Ren Zhiping Xiao Yizhou Sun 38 0 0 04 Sep 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 15 0 0 04 Sep 2024
CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP Sopam Dasgupta Joaquín Arias Elmer Salazar Gopal Gupta CML 18 2 0 11 Jul 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective Emmanouil Krasanakis Symeon Papadopoulos 20 0 0 27 Jun 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 66 3 0 10 Jun 2024
Learning Decision Trees and Forests with Algorithmic Recourse Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 43 3 0 03 Jun 2024
Relevance-aware Algorithmic Recourse Dongwhi Kim Nuno Moniz 21 0 0 29 May 2024
Watermarking Counterfactual Explanations Hangzhi Guo Amulya Yadav AAML 35 0 0 29 May 2024
Counterfactual Explanations for Multivariate Time-Series without Training Datasets Xiangyu Sun Raquel Aoki Kevin H. Wilson 27 1 0 28 May 2024
CFGs: Causality Constrained Counterfactual Explanations using goal-directed ASP Sopam Dasgupta Joaquín Arias Elmer Salazar Gopal Gupta 21 0 0 24 May 2024
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective T. Tominaga Naomi Yamashita Takeshi Kurashima 21 1 0 23 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 33 0 0 25 Apr 2024
Interactive Analysis of LLMs using Meaningful Counterfactuals Furui Cheng Vilém Zouhar Robin Shing Moon Chan Daniel Fürst Hendrik Strobelt Mennatallah El-Assady 19 10 0 23 Apr 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 40 1 0 21 Apr 2024
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence M. Domnich Raul Vicente 21 3 0 19 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
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 65 8 0 31 Mar 2024
Recourse for reclamation: Chatting with generative language models Jennifer Chien Kevin R. McKee Jackie Kay William S. Isaac 27 0 0 21 Mar 2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes Alexander Stevens Chun Ouyang Johannes De Smedt Catarina Moreira CML 32 1 0 14 Mar 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? Saugat Aryal Mark T. Keane 34 4 0 01 Mar 2024
Axe the X in XAI: A Plea for Understandable AI Andrés Páez 11 0 0 01 Mar 2024
Longitudinal Counterfactuals: Constraints and Opportunities Alexander Asemota Giles Hooker 27 2 0 29 Feb 2024
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation Duy Nguyen Bao Nguyen Viet Anh Nguyen 20 0 0 23 Feb 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 19 2 0 16 Feb 2024
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies Jasmina Gajcin Ivana Dusparic CML OffRL 25 2 0 09 Feb 2024
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 13 0 0 08 Feb 2024
Counterfactual Generation with Answer Set Programming Sopam Dasgupta Farhad Shakerin Joaquín Arias Elmer Salazar Gopal Gupta 16 1 0 06 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 27 2 0 05 Feb 2024
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao Jiji Zhang Biwei Huang Hao Wang Kun Zhang 31 0 0 02 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Jakub Marecek TPM 76 0 0 25 Jan 2024
Visibility into AI Agents Alan Chan Carson Ezell Max Kaufmann K. Wei Lewis Hammond ... Nitarshan Rajkumar David M. Krueger Noam Kolt Lennart Heim Markus Anderljung 20 32 0 23 Jan 2024
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space Param S. Rajpura H. Cecotti Y. Meena 24 6 0 20 Dec 2023
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals Patrick Altmeyer Mojtaba Farmanbar A. V. Deursen Cynthia C. S. Liem 32 2 0 17 Dec 2023
Personalized Path Recourse for Reinforcement Learning Agents Dat Hong Tong Wang 15 0 0 14 Dec 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 33 4 0 21 Nov 2023
Does Explainable AI Have Moral Value? Joshua L.M. Brand Luca Nannini XAI 25 0 0 05 Nov 2023