Reweighting guided by Wasserstein distance to achieve demographic parity
Reweighting guided by Wasserstein distance to achieve demographic parity
Zhao, Xuan
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Fabbrizzi, Simone
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Reyero Lobo, Paula
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Ghodsi, Siamak
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Broelemann, Klaus
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Staab, Steffen
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Kasneci, Gjergji
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Zhao, Xuan
116bd84c-8992-456c-a45d-412a6c73cc8f
Fabbrizzi, Simone
cdb984da-b571-4160-8c6f-049772d857d3
Reyero Lobo, Paula
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Ghodsi, Siamak
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Broelemann, Klaus
89abeda9-b4bf-4cd3-aa35-e0412560d5a1
Staab, Steffen
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Kasneci, Gjergji
2991f0cd-5693-4843-9da5-af09e489ce7d
Zhao, Xuan, Fabbrizzi, Simone, Reyero Lobo, Paula, Ghodsi, Siamak, Broelemann, Klaus, Staab, Steffen and Kasneci, Gjergji
(2024)
Reweighting guided by Wasserstein distance to achieve demographic parity.
2024 IEEE International Conference on Big Data, , Washington, United States.
13 - 15 Dec 2024.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
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Accepted/In Press date: 6 November 2024
Venue - Dates:
2024 IEEE International Conference on Big Data, , Washington, United States, 2024-12-13 - 2024-12-15
Identifiers
Local EPrints ID: 496670
URI: http://eprints.soton.ac.uk/id/eprint/496670
PURE UUID: a8987c15-329d-42ab-9000-7319a322042b
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Date deposited: 07 Jan 2025 19:05
Last modified: 10 Jan 2025 02:53
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Contributors
Author:
Xuan Zhao
Author:
Simone Fabbrizzi
Author:
Paula Reyero Lobo
Author:
Siamak Ghodsi
Author:
Klaus Broelemann
Author:
Steffen Staab
Author:
Gjergji Kasneci
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