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Efficient fair PCA for fair representation learning
26 February 2023
Matthäus Kleindessner
Michele Donini
Chris Russell
Muhammad Bilal Zafar
FaML
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Papers citing
"Efficient fair PCA for fair representation learning"
12 / 12 papers shown
Title
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
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
Tianlong Wang
Xianfeng Jiao
Yifan He
Zhongzhi Chen
Yinghao Zhu
Xu Chu
Junyi Gao
Yasha Wang
Liantao Ma
LLMSV
71
8
0
26 May 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
Arnav Chavan
Nahush Lele
Deepak Gupta
45
2
0
17 May 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
A Joint Matrix Factorization Analysis of Multilingual Representations
Zheng Zhao
Yftah Ziser
Bonnie Webber
Shay B. Cohen
32
2
0
24 Oct 2023
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo
Austin Hoag
Philip S Thomas
FaML
AI4TS
53
0
0
23 Oct 2023
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
Junaid Ali
Matthäus Kleindessner
F. Wenzel
Kailash Budhathoki
V. Cevher
Chris Russell
VLM
70
10
0
18 Oct 2023
Fair Canonical Correlation Analysis
Zhuoping Zhou
Davoud Ataee Tarzanagh
Bojian Hou
Boning Tong
Jia Xu
Yanbo Feng
Jinjin Yu
Li Shen
63
5
0
27 Sep 2023
LEACE: Perfect linear concept erasure in closed form
Nora Belrose
David Schneider-Joseph
Shauli Ravfogel
Ryan Cotterell
Edward Raff
Stella Biderman
KELM
MU
41
102
0
06 Jun 2023
Log-linear Guardedness and its Implications
Shauli Ravfogel
Yoav Goldberg
Ryan Cotterell
28
2
0
18 Oct 2022
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
84
57
0
28 Jan 2022
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
675
0
17 Feb 2018
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