- A General Approach to Fairness with Optimal Transport🔍
- A General Approach to Fairness with Optimal Transport.🔍
- Understanding Fairness with Optimal Transport🔍
- Optimal transport of classifiers to fairness🔍
- Everything is Relative🔍
- Optimal Transport of Classifiers to Fairness🔍
- Fair Learning 🔍
- Testing Group Fairness via Optimal Transport Projections🔍
A General Approach to Fairness with Optimal Transport
A General Approach to Fairness with Optimal Transport
Abstract. We propose a general approach to fairness based on transporting distributions corresponding to different sensitive attributes to a ...
A General Approach to Fairness with Optimal Transport
We use optimal transport theory to derive target distributions and methods that allow us to achieve fairness with minimal changes to the unfair model. Our ...
A General Approach to Fairness with Optimal Transport
Download Citation | A General Approach to Fairness with Optimal Transport | We propose a general approach to fairness based on transporting distributions ...
A General Approach to Fairness with Optimal Transport
This work uses optimal transport theory to derive target distributions and methods that allow us to achieve fairness with minimal changes to ...
A General Approach to Fairness with Optimal Transport
A General Approach to Fairness with Optimal Transport. Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides. January 0001.
A General Approach to Fairness with Optimal Transport. - BibSonomy
A General Approach to Fairness with Optimal Transport. S. Chiappa, R. Jiang, T. Stepleton, A. Pacchiano, H. Jiang, and J. Aslanides.
Understanding Fairness with Optimal Transport - arXiv
The machine learning community approaches fairness similarly, usually by translating some abstract notion into a mathematical expression and ...
Optimal transport of classifiers to fairness - ACM Digital Library
To validate this hypothesis, we introduce Optimal Transport to Fairness (OTF), a method that quantifies the violation of fairness constraints as ...
Everything is Relative: Understanding Fairness with Optimal Transport
This work uses the optimal transport map to examine individual, subgroup, and group fairness and presents an optimal transport-based approach to fairness ...
Optimal Transport of Classifiers to Fairness - OpenReview
To validate this hypothesis, we introduce Optimal Transport to Fairness (OTF), a method that quantifies the violation of fairness constraints as ...
Optimal Transport of Classifiers to Fairness - NIPS papers
To validate this hypothesis, we introduce Optimal Transport to Fairness (OTF), a method that quantifies the violation of fairness constraints as the smallest ...
Fair Learning : an optimal transport based approach - HAL Thèses
We analyze repair methods based on mapping conditional distributions to the Wasserstein barycenter. Finally, we propose a random repair which yields a tradeoff ...
Testing Group Fairness via Optimal Transport Projections
This unifying approach can also be used in contexts requiring the use of different fairness notions simultaneously and settings with multiple groups. Since a ...
Fairness in Machine Learning via Optimal Transport By Shizhou Xu
(Statistical parity) We first apply the optimal affine transport to approach the post-processing. Wasserstein barycenter characterization of the optimal fair L2 ...
Fair Learning: an optimal transport based approach
We analyze repair methods based on mapping conditional distributions to the Wasserstein barycenter. Finally, we propose a random repair which yields a tradeo ...
Optimal Transport of Classifiers to Fairness
To validate this hypothesis, we introduce Optimal Transport to Fairness (OTF), a method that quantifies the violation of fairness constraints as the smallest ...
Obtaining Fairness using Optimal Transport Theory
We analyze next this procedure and propose an alternative method for the partial repair. 3.2. A new algorithm for partial repair. Let λ ∈ [0, 1] be the ...
Everything is Relative: Understanding Fairness with Optimal Transport
In this work, we use the optimal transport map to examine individual, subgroup, and group fairness. Our framework is able to recover well known ...
Matching code and law: achieving algorithmic fairness with optimal ...
Second, we use optimal transport theory, and specifically the concept of the barycenter, to maximize decision maker utility under the chosen fairness ...
(PDF) Matching Code and Law: Achieving Algorithmic Fairness with ...
Second, we use optimal transport theory, and specifically the concept of the barycenter, to maximize decision maker utility under the chosen fairness ...