Distributionally Robust Fair Principal Components via Geodesic Descents

Distributionally Robust Fair Principal Components via Geodesic Descents

7 February 2022

Viet Anh Nguyen

Papers citing "Distributionally Robust Fair Principal Components via Geodesic Descents"

11 / 11 papers shown

Title
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 37 0 0 05 Nov 2024
Fairness-Aware Estimation of Graphical Models Zhuoping Zhou Davoud Ataee Tarzanagh Bojian Hou Qi Long Li Shen 54 0 0 30 Aug 2024
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set Man-Chung Yue Yves Rychener Daniel Kuhn Viet Anh Nguyen 31 1 0 30 May 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 29 4 0 27 Feb 2024
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee Hanseul Cho Se-Young Yun Chulhee Yun 35 5 0 28 Oct 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OOD OffRL 40 23 0 26 Feb 2023
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness Casey Garner Gilad Lerman Shuzhong Zhang 11 0 0 02 Sep 2022
Robust Bayesian Recourse Tuan-Duy H. Nguyen Ngoc H. Bui D. Nguyen Man-Chung Yue Viet Anh Nguyen 22 13 0 22 Jun 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 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
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016