Survey on Causal-based Machine Learning Fairness Notions

Survey on Causal-based Machine Learning Fairness Notions

19 October 2020

Papers citing "Survey on Causal-based Machine Learning Fairness Notions"

19 / 19 papers shown

Title
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 68 0 0 10 Nov 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 49 2 0 03 Sep 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 41 2 0 19 Dec 2023
Mitigating Nonlinear Algorithmic Bias in Binary Classification Wendy Hui Wai Kwong Lau FaML 32 0 0 09 Dec 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 31 2 0 26 Oct 2023
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem Jose Alvarez Colmenares CML 21 0 0 16 May 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 22 13 0 23 Feb 2023
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 18 1 0 21 Nov 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 28 6 0 14 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 31 24 0 16 Sep 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 24 16 0 14 Jun 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 20 3 0 18 Apr 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 24 50 0 07 Feb 2022
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 16 26 0 23 Dec 2021
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 18 1 0 03 Dec 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 8 142 0 20 May 2021
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 71 13 0 25 Apr 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016