Improving Fair Training under Correlation Shifts

Improving Fair Training under Correlation Shifts

5 February 2023

Steven Euijong Whang

Papers citing "Improving Fair Training under Correlation Shifts"

11 / 11 papers shown

Title
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 27 0 0 23 Apr 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Xia Hu 106 0 0 10 Mar 2025
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Norman Matloff Aditya Mittal 22 0 0 13 Nov 2024
dsld: A Socially Relevant Tool for Teaching Statistics Taha Abdullah Arjun Ashok Brandon Estrada Norman Matloff Aditya Mittal Norman Matloff Aditya Mittal 26 0 0 06 Nov 2024
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously Dong Li Chen Zhao Minglai Shao Wenjun Wang OOD FaML 24 2 0 18 Aug 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 26 1 0 25 Jun 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin Haoxuan Li Fuli Feng 42 3 0 05 Jun 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 43 2 0 20 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 33 1 0 07 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 15 8 0 02 Feb 2024
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 16 4 0 23 Nov 2023