Fairness Aware Counterfactuals for Subgroups

Fairness Aware Counterfactuals for Subgroups

26 June 2023

Loukas Kavouras

Konstantinos Tsopelas

G. Giannopoulos

Dimitris Sacharidis

Eleni Psaroudaki

Nikolaos Theologitis

D. Rontogiannis

Dimitris Fotakis

Papers citing "Fairness Aware Counterfactuals for Subgroups"

9 / 9 papers shown

Title
BiasConnect: Investigating Bias Interactions in Text-to-Image Models Pushkar Shukla Aditya Chinchure Emily Diana A. Tolbert K. Hosanagar Vineeth N. Balasubramanian Leonid Sigal Matthew A. Turk 51 0 0 12 Mar 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo Kaipeng Zhang 75 0 0 10 Feb 2025
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 82 0 0 10 Nov 2024
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness Christos Fragkathoulas Vasiliki Papanikou E. Pitoura Evimaria Terzi 36 0 0 29 Oct 2024
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups Jingyu Hu Jun Hong Mengnan Du Weiru Liu 26 0 0 02 Oct 2024
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability Ioannis Emiris Dimitris Fotakis G. Giannopoulos Dimitrios Gunopulos Loukas Kavouras ... D. Rontogiannis Dimitris Sacharidis Nikolaos Theologitis Dimitrios Tomaras Konstantinos Tsopelas CML FAtt 33 1 0 29 May 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 21 2 0 16 Feb 2024
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 80 82 0 13 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 344 4,230 0 23 Aug 2019