Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel
Manifold

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold

23 September 2021

M. Hasegawa-Johnson

Papers citing "Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold"

15 / 15 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 32 1 0 09 May 2025
Fair PCA, One Component at a Time Antonis Matakos Martino Ciaperoni Heikki Mannila 42 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 40 2 0 01 Mar 2025
Achieving Fair PCA Using Joint Eigenvalue Decomposition Vidhi Rathore Naresh Manwani 47 1 0 24 Feb 2025
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee Hanseul Cho Se-Young Yun Chulhee Yun 38 5 0 28 Oct 2023
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 50 0 0 23 Oct 2023
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations David Liu Jackie Baek Tina Eliassi-Rad 24 0 0 15 Oct 2023
Curvature-Independent Last-Iterate Convergence for Games on Riemannian Manifolds Yong Cai Michael I. Jordan Tianyi Lin Argyris Oikonomou Emmanouil-Vasileios Vlatakis-Gkaragkounis 30 4 0 29 Jun 2023
Efficient fair PCA for fair representation learning Matthäus Kleindessner Michele Donini Chris Russell Muhammad Bilal Zafar FaML 15 14 0 26 Feb 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 6 0 15 Nov 2022
A novel approach for Fair Principal Component Analysis based on eigendecomposition G. D. Pelegrina L. Duarte FaML 25 11 0 24 Aug 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces Michael I. Jordan Tianyi Lin Emmanouil-Vasileios Vlatakis-Gkaragkounis 29 19 0 04 Jun 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 329 4,223 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