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Convex Formulations for Fair Principal Component Analysis
v1v2v3 (latest)

Convex Formulations for Fair Principal Component Analysis

11 February 2018
Matt Olfat
A. Aswani
    FaML
ArXiv (abs)PDFHTML

Papers citing "Convex Formulations for Fair Principal Component Analysis"

31 / 31 papers shown
Title
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization
Zhenyu Wang
Molei Liu
Jing Lei
Francis Bach
Zijian Guo
97
1
0
02 May 2025
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
Junhui Shen
Aaron J. Davis
Ding Lu
Z. Bai
81
2
0
01 Mar 2025
Achieving Fair PCA Using Joint Eigenvalue Decomposition
Vidhi Rathore
Naresh Manwani
56
1
0
24 Feb 2025
Fairness-Aware Estimation of Graphical Models
Fairness-Aware Estimation of Graphical Models
Zhuoping Zhou
Davoud Ataee Tarzanagh
Bojian Hou
Qi Long
Li Shen
83
0
0
30 Aug 2024
Fair Streaming Principal Component Analysis: Statistical and Algorithmic
  Viewpoint
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee
Hanseul Cho
Se-Young Yun
Chulhee Yun
67
5
0
28 Oct 2023
A Joint Matrix Factorization Analysis of Multilingual Representations
A Joint Matrix Factorization Analysis of Multilingual Representations
Zheng Zhao
Yftah Ziser
Bonnie Webber
Shay B. Cohen
87
4
0
24 Oct 2023
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
David Liu
Jackie Baek
Tina Eliassi-Rad
72
0
0
15 Oct 2023
Fair Column Subset Selection
Fair Column Subset Selection
Antonis Matakos
Bruno Ordozgoiti
Suhas Thejaswi
67
3
0
07 Jun 2023
Fair Oversampling Technique using Heterogeneous Clusters
Fair Oversampling Technique using Heterogeneous Clusters
Ryosuke Sonoda
85
14
0
23 May 2023
Efficient fair PCA for fair representation learning
Efficient fair PCA for fair representation learning
Matthäus Kleindessner
Michele Donini
Chris Russell
Muhammad Bilal Zafar
FaML
99
16
0
26 Feb 2023
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization
  and its Application to Fairness
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness
Casey Garner
Gilad Lerman
Shuzhong Zhang
49
0
0
02 Sep 2022
A novel approach for Fair Principal Component Analysis based on
  eigendecomposition
A novel approach for Fair Principal Component Analysis based on eigendecomposition
G. D. Pelegrina
L. Duarte
FaML
68
11
0
24 Aug 2022
Distributionally Robust Fair Principal Components via Geodesic Descents
Distributionally Robust Fair Principal Components via Geodesic Descents
Hieu Vu
Toan M. Tran
Man-Chung Yue
Viet Anh Nguyen
65
14
0
07 Feb 2022
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel
  Manifold
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
Junghyun Lee
Gwangsun Kim
Matt Olfat
M. Hasegawa-Johnson
Chang D. Yoo
115
16
0
23 Sep 2021
FiSH: Fair Spatial Hotspots
FiSH: Fair Spatial Hotspots
Deepak P
Sowmya S. Sundaram
67
1
0
01 Jun 2021
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of
  Them All?
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?
Martin Aumüller
Sariel Har-Peled
S. Mahabadi
Rasmus Pagh
Francesco Silvestri
25
14
0
26 Jan 2021
FairOD: Fairness-aware Outlier Detection
FairOD: Fairness-aware Outlier Detection
Shubhranshu Shekhar
Neil Shah
Leman Akoglu
72
37
0
05 Dec 2020
Representativity Fairness in Clustering
Representativity Fairness in Clustering
Deepak P
Savitha Sam Abraham
FaML
32
14
0
11 Oct 2020
Analysis of Trade-offs in Fair Principal Component Analysis Based on
  Multi-objective Optimization
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
G. D. Pelegrina
Renan D. B. Brotto
L. Duarte
R. Attux
João Marcos Travassos Romano
23
4
0
11 Jun 2020
Fair Outlier Detection
Fair Outlier Detection
D. P.
Savitha Sam Abraham
FaML
115
18
0
20 May 2020
Covariance-Robust Dynamic Watermarking
Covariance-Robust Dynamic Watermarking
Matt Olfat
S. Sloan
P. Hespanhol
Matthew Porter
Ram Vasudevan
A. Aswani
AAML
52
9
0
31 Mar 2020
Fair Principal Component Analysis and Filter Design
Fair Principal Component Analysis and Filter Design
Gad Zalcberg
A. Wiesel
53
13
0
16 Feb 2020
Efficient Fair Principal Component Analysis
Efficient Fair Principal Component Analysis
Mohammad Mahdi Kamani
Farzin Haddadpour
R. Forsati
M. Mahdavi
94
37
0
12 Nov 2019
Learning Fair and Interpretable Representations via Linear
  Orthogonalization
Learning Fair and Interpretable Representations via Linear Orthogonalization
Yuzi He
Keith Burghardt
Kristina Lerman
FaML
25
4
0
28 Oct 2019
Optimization Hierarchy for Fair Statistical Decision Problems
Optimization Hierarchy for Fair Statistical Decision Problems
A. Aswani
Matt Olfat
58
3
0
18 Oct 2019
Fairness in Clustering with Multiple Sensitive Attributes
Fairness in Clustering with Multiple Sensitive Attributes
Savitha Sam
Abraham • Deepak
Sowmya S. Sundaram
FaML
69
43
0
11 Oct 2019
A Distributed Fair Machine Learning Framework with Private Demographic
  Data Protection
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
Hui Hu
Yijun Liu
Zhen Wang
Chao Lan
FaMLFedML
86
26
0
17 Sep 2019
Fair Kernel Regression via Fair Feature Embedding in Kernel Space
Fair Kernel Regression via Fair Feature Embedding in Kernel Space
Austin Okray
Hui Hu
Chao Lan
FaML
80
4
0
04 Jul 2019
Near Neighbor: Who is the Fairest of Them All?
Near Neighbor: Who is the Fairest of Them All?
Sariel Har-Peled
S. Mahabadi
77
22
0
06 Jun 2019
Fairness in representation: quantifying stereotyping as a
  representational harm
Fairness in representation: quantifying stereotyping as a representational harm
Mohsen Abbasi
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
53
51
0
28 Jan 2019
The Price of Fair PCA: One Extra Dimension
The Price of Fair PCA: One Extra Dimension
Samira Samadi
U. Tantipongpipat
Jamie Morgenstern
Mohit Singh
Santosh Vempala
FaML
136
158
0
31 Oct 2018
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