Equalizing Recourse across Groups

7 September 2019

Vivek Gupta

Pegah Nokhiz

Chitradeep Dutta Roy

Suresh Venkatasubramanian

FaML

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Papers citing "Equalizing Recourse across Groups"

48 / 48 papers shown

Title
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics Tin Trung Nguyen Jiannan Xu Zora Che Phuong-Anh Nguyen-Le Rushil Dandamudi Donald Braman Furong Huang Hal Daumé III Zubin Jelveh 76 0 0 25 May 2025
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Chara Podimata 131 1 0 08 May 2025
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Aditya Bhaskara Suresh Venkatasubramanian 85 1 0 10 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 135 0 0 03 Apr 2025
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 84 0 0 02 Oct 2024
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups Jingyu Hu Jun Hong Mengnan Du Weiru Liu 77 0 0 02 Oct 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 124 4 0 10 Jun 2024
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions Tian Xie Xueru Zhang 75 4 0 12 May 2024
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang OffRL 83 3 0 03 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 74 4 0 29 Apr 2024
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 106 0 0 25 Apr 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 82 4 0 16 Feb 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 76 3 0 15 Feb 2024
Robust Counterfactual Explanations in Machine Learning: A Survey Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni OffRL CML 76 13 0 02 Feb 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity Andrew Bell Joao Fonseca Carlo Abrate Francesco Bonchi Julia Stoyanovich FaML 116 2 0 29 Jan 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 69 5 0 22 Dec 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 50 2 0 05 Nov 2023
Prediction without Preclusion: Recourse Verification with Reachable Sets Avni Kothari B. Kulynych Tsui-Wei Weng Berk Ustun FaML 82 6 0 24 Aug 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 96 8 0 26 Jun 2023
The Risks of Recourse in Binary Classification H. Fokkema Damien Garreau T. Erven FaML 79 5 0 01 Jun 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 95 19 0 26 May 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees Faisal Hamman Erfaun Noorani Saumitra Mishra Daniele Magazzeni Sanghamitra Dutta OOD AAML 98 36 0 19 May 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 71 2 0 30 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks Yilun Zhou 60 0 0 17 Mar 2023
Robustness Implies Fairness in Causal Algorithmic Recourse A. Ehyaei Amir-Hossein Karimi Bernhard Schölkopf S. Maghsudi FaML 72 12 0 07 Feb 2023
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 84 8 0 27 Nov 2022
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 56 1 0 21 Nov 2022
On the Privacy Risks of Algorithmic Recourse Martin Pawelczyk Himabindu Lakkaraju Seth Neel 86 31 0 10 Nov 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact Ozgur Guldogan Yuchen Zeng Jy-yong Sohn Ramtin Pedarsani Kangwook Lee FaML 83 14 0 13 Oct 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoglu FaML 70 3 0 30 Aug 2022
Personalized Algorithmic Recourse with Preference Elicitation Giovanni De Toni P. Viappiani Stefano Teso Bruno Lepri Andrea Passerini 101 9 0 27 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 89 3 0 22 May 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 103 64 0 21 Dec 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms Martin Pawelczyk Sascha Bielawski J. V. D. Heuvel Tobias Richter Gjergji Kasneci CML 96 105 0 02 Aug 2021
Feature Attributions and Counterfactual Explanations Can Be Manipulated Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 34 6 0 23 Jun 2021
Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects Julius von Kügelgen N. Agarwal Jakob Zeitler Afsaneh Mastouri Bernhard Schölkopf CML 68 2 0 22 Jun 2021
Counterfactual Explanations Can Be Manipulated Dylan Slack Sophie Hilgard Himabindu Lakkaraju Sameer Singh 81 138 0 04 Jun 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Neal Patwari Suresh Venkatasubramanian 123 8 0 24 Apr 2021
Evaluating Robustness of Counterfactual Explanations André Artelt Valerie Vaquet Riza Velioglu Fabian Hinder Johannes Brinkrolf M. Schilling Barbara Hammer 130 46 0 03 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 85 60 0 02 Mar 2021
Information Discrepancy in Strategic Learning Yahav Bechavod Chara Podimata Zhiwei Steven Wu Juba Ziani 142 50 0 01 Mar 2021
Everything is Relative: Understanding Fairness with Optimal Transport Kweku Kwegyir-Aggrey Rebecca Santorella Sarah M. Brown OT 75 3 0 20 Feb 2021
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 97 16 0 31 Oct 2020
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 178 177 0 20 Oct 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 168 87 0 13 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 70 172 0 08 Oct 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 106 181 0 11 Jun 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 100 346 0 14 Feb 2020