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Fair learning with Wasserstein barycenters for non-decomposable
  performance measures

Fair learning with Wasserstein barycenters for non-decomposable performance measures

1 September 2022
Solenne Gaucher
Nicolas Schreuder
Evgenii Chzhen
ArXivPDFHTML

Papers citing "Fair learning with Wasserstein barycenters for non-decomposable performance measures"

4 / 4 papers shown
Title
Multi-Output Distributional Fairness via Post-Processing
Multi-Output Distributional Fairness via Post-Processing
Gang Li
Qihang Lin
Ayush Ghosh
Tianbao Yang
49
0
0
31 Aug 2024
Fair Wasserstein Coresets
Fair Wasserstein Coresets
Zikai Xiong
Niccolò Dalmasso
Shubham Sharma
Freddy Lecue
Daniele Magazzeni
Vamsi K. Potluru
T. Balch
Manuela Veloso
28
2
0
09 Nov 2023
Fairness Explainability using Optimal Transport with Applications in
  Image Classification
Fairness Explainability using Optimal Transport with Applications in Image Classification
Philipp Ratz
Franccois Hu
Arthur Charpentier
15
0
0
22 Aug 2023
Fairness with Continuous Optimal Transport
Fairness with Continuous Optimal Transport
Silvia Chiappa
Aldo Pacchiano
OT
24
12
0
06 Jan 2021
1