Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

26 June 2022

Bang An

Zora Che

Mucong Ding

Furong Huang

ArXiv PDF HTML

Papers citing "Transferring Fairness under Distribution Shifts via Fair Consistency Regularization"

25 / 25 papers shown

Title
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 32 0 0 23 Apr 2025
Accurately Classifying Out-Of-Distribution Data in Facial Recognition Gianluca Barone Aashrit Cunchala Rudy Nunez OODD OOD 31 1 0 05 Apr 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis Lorenzo Peracchio G. Nicora Enea Parimbelli T. M. Buonocore Roberto Bergamaschi Eleonora Tavazzi A. Dagliati Riccardo Bellazzi 23 0 0 27 Feb 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness Weiye Chen Yiqun Xie Xiaowei Jia Erhu He Han Bao Bang An Xun Zhou 14 2 0 20 Feb 2024
A Note on Bias to Complete Jia Xu Mona Diab 49 2 0 18 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 31 8 0 02 Feb 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models Zhihao Wang Yiqun Xie Zhili Li Xiaowei Jia Zhe Jiang Aolin Jia Shuo Xu 17 6 0 27 Jan 2024
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 28 6 0 11 Dec 2023
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously Chengli Zhao Kai Jiang Xintao Wu Haoliang Wang Latifur Khan Christan Earl Grant Feng Chen OOD 29 4 0 23 Nov 2023
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam Jay Nandy A. Raghuveer 48 1 0 11 Oct 2023
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework Sina Baharlouei Meisam Razaviyayn FaML OOD 45 0 0 20 Sep 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience Rongguang Wang G. Erus Pratik Chaudhari Christos Davatzikos OOD 40 2 0 06 Aug 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 12 13 0 06 Mar 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Xia Hu 35 3 0 31 Jan 2023
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 27 3 0 14 Nov 2022
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 27 34 0 31 May 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 227 203 0 21 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 150 39 0 12 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 489 0 31 Dec 2020
Towards Fair Cross-Domain Adaptation via Generative Learning Tongxin Wang Zhengming Ding Wei Shao Haixu Tang Kun Huang TTA 34 9 0 04 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 326 4,223 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018
Discriminatory Transfer Chao Lan Jun Huan FaML 210 20 0 03 Jul 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016