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Toward a better trade-off between performance and fairness with
  kernel-based distribution matching

Toward a better trade-off between performance and fairness with kernel-based distribution matching

25 October 2019
Flavien Prost
Hai Qian
Qiuwen Chen
Ed H. Chi
Jilin Chen
Alex Beutel
    FaML
ArXivPDFHTML

Papers citing "Toward a better trade-off between performance and fairness with kernel-based distribution matching"

11 / 11 papers shown
Title
On the Inductive Biases of Demographic Parity-based Fair Learning
  Algorithms
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
40
1
0
28 Feb 2024
Deceptive Fairness Attacks on Graphs via Meta Learning
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang
Yinglong Xia
Ross Maciejewski
Jiebo Luo
Yangqiu Song
44
4
0
24 Oct 2023
Hyper-parameter Tuning for Fair Classification without Sensitive
  Attribute Access
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Ivan Brugere
Sanghamitra Dutta
Alan Mishler
S. Garg
50
6
0
02 Feb 2023
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Yoav Wald
G. Yona
Uri Shalit
Y. Carmon
24
7
0
28 Nov 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences
  between per-user and aggregated evaluations
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations
Flavien Prost
Ben Packer
Jilin Chen
Li Wei
Pierre-Antoine Kremp
...
Tulsee Doshi
Tonia Osadebe
Lukasz Heldt
Ed H. Chi
Alex Beutel
30
5
0
14 Oct 2022
Fairness and robustness in anti-causal prediction
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
38
10
0
20 Sep 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
65
11
0
04 Jul 2022
Mitigating Racial Biases in Toxic Language Detection with an
  Equity-Based Ensemble Framework
Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework
Matan Halevy
Camille Harris
A. Bruckman
Diyi Yang
A. Howard
49
35
0
27 Sep 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
197
0
12 Jul 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task
  Learning
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
Yuyan Wang
Xuezhi Wang
Alex Beutel
Flavien Prost
Jilin Chen
Ed H. Chi
FaML
29
47
0
04 Jun 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
236
676
0
17 Feb 2018
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