Modeling Techniques for Machine Learning Fairness: A Survey

Modeling Techniques for Machine Learning Fairness: A Survey

4 November 2021

Daochen Zha

Ninghao Liu

Papers citing "Modeling Techniques for Machine Learning Fairness: A Survey"

19 / 19 papers shown

Title
Debiasing Graph Representation Learning based on Information Bottleneck Ziyi Zhang Mingxuan Ouyang Wanyu Lin Hao Lan Lei Yang FaML 18 0 0 02 Sep 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 27 5 0 24 Jun 2024
Data vs. Model Machine Learning Fairness Testing: An Empirical Study Arumoy Shome Luís Cruz A. van Deursen 26 3 0 15 Jan 2024
Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction Alexandra Kakadiaris 17 2 0 31 Dec 2023
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Sina Baharlouei Shivam Patel Meisam Razaviyayn 27 4 0 06 Dec 2023
Explaining CLIP's performance disparities on data from blind/low vision users Daniela Massiceti Camilla Longden Agnieszka Slowik Samuel Wills Martin Grayson C. Morrison VLM 17 7 0 29 Nov 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 20 2 0 13 Sep 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Xia Hu Na Zou 9 4 0 09 Jul 2023
Fairness of ChatGPT Yunqi Li Lanjing Zhang Yongfeng Zhang 15 21 0 22 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 11 20 0 19 May 2023
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews Brandon M. Booth Louis Hickman Shree Krishna Subburaj Louis Tay S. E. Woo S. D’Mello FaML 30 18 0 04 May 2023
Fairness Uncertainty Quantification: How certain are you that the model is fair? Abhishek Roy P. Mohapatra 9 5 0 27 Apr 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 16 2 0 28 Feb 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning Sirui Ding Ruixiang Tang Daochen Zha Na Zou Kai Zhang Xiaoqian Jiang Xia Hu 8 9 0 18 Feb 2023
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 93 41 0 26 May 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 12 0 0 22 Apr 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 208 663 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016