- [2202.03814] Optimal Transport of Classifiers to Fairness🔍
- Optimal Transport of Classifiers to Fairness🔍
- Optimal transport of classifiers to fairness🔍
- aida|ugent/OTF🔍
- A General Approach to Fairness with Optimal Transport🔍
- Obtaining Fairness using Optimal Transport Theory🔍
- Optimal Transport of Binary Classifiers to Fairness🔍
- Fair Learning 🔍
Optimal transport of classifiers to fairness
[2202.03814] Optimal Transport of Classifiers to Fairness - arXiv
We introduce Optimal Transport to Fairness (OTF), a method that quantifies the violation of fairness constraints as the smallest Optimal Transport cost.
Optimal Transport of Classifiers to Fairness - NIPS papers
We propose to quantify the unfairness of a probabilistic classifier as the Optimal Transport to Fairness (OTF) cost, which is defined as the smallest OT cost ...
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 ...
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 - arXiv
We propose to quantify the unfairness of a probabilistic classifier as the Optimal Transport to Fairness (OTF) cost, which is defined as the ...
aida-ugent/OTF: Optimal Transport of Classifiers to Fairness ...
Optimal Transport to Fairness (OTF). This project contains an accessible implementation of the OTF cost function proposed in the paper Optimal Transport of ...
Optimal Transport of Classifiers to Fairness - OpenReview
a probabilistic classifier and any score function that satisfies these constraints. 9. For a flexible class of linear fairness constraints, we construct a ...
A General Approach to Fairness with Optimal Transport
(2019), we introduced an approach to fair classification that uses optimal transport theory to match the distributions of the model outputs corresponding to ...
Optimal transport of classifiers to fairness - @ NeurIPS 2022
Paper review: Optimal transport of classifiers to fairness. @ NeurIPS 2022. Kunwoong Kim. 2023.1.30. Department of Statistics, Seoul National University. 1 ...
Optimal Transport of Classifiers to Fairness: Appendix - NIPS papers
Optimal Transport of Classifiers to Fairness: Appendix. A Derivations and Proofs. A.1 Proof of Proposition 1. With hi > 0, we assume that the null-space of G ...
Obtaining Fairness using Optimal Transport Theory
In the fair classification setup, we recast the links between fairness and predictability in terms of probability metrics. We analyze repair methods based ...
Optimal Transport of Binary Classifiers to Fairness - ResearchGate
Our proposed method, Optimal Transport to Fairness (OTF), applies Optimal Transport (OT) to take this similarity into account by quantifying ...
A General Approach to Fairness with Optimal Transport - AAAI
Our approach is applicable to both classification and regression problems, can enforce different notions of fairness, and enable us to achieve a ...
Obtaining Fairness using Optimal Transport Theory - Semantic Scholar
The goals of this paper are to detect when a binary classification rule lacks fairness and to try to fight against the potential discrimination attributable ...
Fair Learning : an optimal transport based approach - HAL Thèses
These are then used to assess a new criterion of data set fairness in classification. Additionally, we provide a moderate deviation principle for the empirical ...
Fair and Optimal Classification via Post-Processing
We may, however, guarantee that¯h is optimal among all fair classifiers ... Stochastic. Optimization for Large-scale Optimal Transport. In Ad- vances in ...
Obtaining fairness using optimal transport theory - NASA/ADS
The relationship between these two notions is also studied. The goals of this paper are to detect when a binary classification rule lacks fairness and to try to ...
Testing Group Fairness via Optimal Transport Projections - NSF PAR
We present a statistical testing framework to de- tect if a given machine learning classifier fails to satisfy a wide range of group fairness notions. The ...
Fairness Explainability using Optimal Transport with Applications in ...
To bridge this gap between the two fields, we propose a comprehensive approach that uses optimal transport theory to uncover the causes of ...
A General Approach to Fairness with Optimal Transport
Our approach is applicable to both classification and regression problems, can enforce different notions of fairness, and enable us to achieve a Pareto-optimal ...