Machine Learning · Computer Science
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2021-12-30
Machine Learning · Computer Science
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples
Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy +1
2024-01-09
Machine Learning · Computer Science
Robust Fairness under Covariate Shift
Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian Ziebart
2021-02-09
Machine Learning · Computer Science
Learning Fair Models without Sensitive Attributes: A Generative Approach
Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
2024-10-04
Information Retrieval · Computer Science
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kırnap, Fernando Diaz, Asia Biega, Michael Ekstrand +2
2021-08-12
Machine Learning · Computer Science
Fair Feature Importance Scores via Feature Occlusion and Permutation
Camille Little, Madeline Navarro, Santiago Segarra, Genevera Allen
2026-02-11
Applications · Statistics
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha +1
2018-11-28
Machine Learning · Computer Science
Fairness in Ranking: Robustness through Randomization without the Protected Attribute
Andrii Kliachkin, Eleni Psaroudaki, Jakub Marecek, Dimitris Fotakis
2025-04-21
Machine Learning · Computer Science
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
2020-04-16
Machine Learning · Computer Science
Fairness Violations and Mitigation under Covariate Shift
Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
2021-01-26
Machine Learning · Statistics
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale +2
2018-09-06
Computer Science and Game Theory · Computer Science
Fair assignment of indivisible objects under ordinal preferences
Haris Aziz, Serge Gaspers, Simon Mackenzie, Toby Walsh
2015-06-18
Machine Learning · Computer Science
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024-08-20
Machine Learning · Computer Science
Pairwise Fairness for Ranking and Regression
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Serena Wang
2020-01-08