Adaptive Sampling for Minimax Fair Classification

1 March 2021

Papers citing "Adaptive Sampling for Minimax Fair Classification"

6 / 6 papers shown

Title
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 30 0 0 28 Jun 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins I. E. Kumar Suresh Venkatasubramanian FedML 41 1 0 29 Feb 2024
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 26 0 0 09 Oct 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 33 17 0 22 Aug 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Bo-wen Li OOD 56 15 0 31 May 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018