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The Fairness-Accuracy Pareto Front

The Fairness-Accuracy Pareto Front

25 August 2020
Susan Wei
Marc Niethammer
    FaML
ArXivPDFHTML

Papers citing "The Fairness-Accuracy Pareto Front"

7 / 7 papers shown
Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
105
0
0
28 Feb 2025
Entropy-driven Fair and Effective Federated Learning
Entropy-driven Fair and Effective Federated Learning
Lung-Chuang Wang
Zhichao Wang
Sai Praneeth Karimireddy
Xiaoying Tang
Xiaoying Tang
FedML
25
9
0
29 Jan 2023
Counterfactual Fairness with Partially Known Causal Graph
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo
Susan Wei
Tongliang Liu
Bo Han
Kun Zhang
Mingming Gong
OOD
FaML
19
19
0
27 May 2022
Latent Space Smoothing for Individually Fair Representations
Latent Space Smoothing for Individually Fair Representations
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
28
18
0
26 Nov 2021
Fair Normalizing Flows
Fair Normalizing Flows
Mislav Balunović
Anian Ruoss
Martin Vechev
AAML
11
36
0
10 Jun 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
673
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
192
2,082
0
24 Oct 2016
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