A novel approach for Fair Principal Component Analysis based on eigendecomposition

24 August 2022

Papers citing "A novel approach for Fair Principal Component Analysis based on eigendecomposition"

7 / 7 papers shown

Title
Fair PCA, One Component at a Time Antonis Matakos Martino Ciaperoni Heikki Mannila 37 0 0 27 Mar 2025
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization Junhui Shen Aaron J. Davis Ding Lu Z. Bai 34 1 0 01 Mar 2025
Achieving Fair PCA Using Joint Eigenvalue Decomposition Vidhi Rathore Naresh Manwani 39 1 0 24 Feb 2025
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations David Liu Jackie Baek Tina Eliassi-Rad 19 0 0 15 Oct 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 13 3 0 11 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 32 18 0 04 May 2023
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 488 0 31 Dec 2020