Equalizing Recourse across Groups

7 September 2019

Vivek Gupta

Pegah Nokhiz

Chitradeep Dutta Roy

Suresh Venkatasubramanian

FaML

ArXiv PDF HTML

Papers citing "Equalizing Recourse across Groups"

20 / 20 papers shown

Title
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Chara Podimata 63 0 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 35 0 0 10 Apr 2025
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 73 3 0 10 Jun 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 48 4 0 29 Apr 2024
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 38 0 0 25 Apr 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 25 2 0 16 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 40 2 0 29 Jan 2024
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 51 16 0 26 May 2023
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 33 8 0 27 Nov 2022
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 32 1 0 21 Nov 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoglu FaML 40 3 0 30 Aug 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 51 63 0 21 Dec 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 27 2 0 22 Jun 2021
Evaluating Robustness of Counterfactual Explanations André Artelt Valerie Vaquet Riza Velioglu Fabian Hinder Johannes Brinkrolf M. Schilling Barbara Hammer 14 46 0 03 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 45 55 0 02 Mar 2021
Information Discrepancy in Strategic Learning Yahav Bechavod Chara Podimata Zhiwei Steven Wu Juba Ziani 49 46 0 01 Mar 2021
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 47 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 31 164 0 20 Oct 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 28 178 0 11 Jun 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 24 338 0 14 Feb 2020