Optimal Transport for Fairness

Causal Inference and Counterfactuals with Optimal Transport with ...

(2019). In this talk, we will focus on the use of Optimal Transport first to quantify the risk and derive a counterfactual version of a policyholder, and then ...

Optimal Transport-Embedded Neural Network for Fairness Transfer ...

Optimal transport-embedded neural systems are an option for solving transfer learning problems. The mixup method is adopted in this paper. It ...

(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 ...

Obtaining Dyadic Fairness by Optimal Transport

Fairness has been taken as a critical metric in machine learning models, which is considered as an important component of trustworthy machine learning.

Fairness in Social Influence Maximization via Optimal Transport

The authors leverage optimal transport theory to develop a fair influence maximization algorithm that aims to distribute influence more ...

Obtaining Dyadic Fairness by Optimal Transport - IEEE Xplore

Fur- thermore, an optimal transport-based dyadic fairness algorithm called DyadicOT is obtained by efficiently solving the alignment problem, satisfying ...

Improving Fairness in Criminal Justice Algorithmic Risk ...

We combine a machine learning classifier trained in a novel manner with an optimal transport adjustment for the relevant joint probability distributions, which ...

Matching Code and Law: Achieving Algorithmic Fairness with ...

Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport ... Discrimination by algorithms is increasingly perceived as a ...

Optimal transport and total variation distance - Math Stack Exchange

What might be happening is a different definition of the T.V metric. Indeed, we can prove that using your definition of TV, the equality ||μ ...

Intra- and Inter-group Optimal Transport for User-Oriented Fairness ...

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. bookmark share cite embed. Speakers.

Optimal Transport for Fairness: Archival Data Repair using Small ...

We use the latter to design optimal transport (OT)-based repair plans on interpolated supports. This allows off-sample, labelled, archival data to be repaired, ...

GitHub - laclauc/FairGraph: Code for the AISTATS 2021 article

This work presents the contribution of the article "All of the Fairness for Edge Prediction with Optimal Transport" accepted to AISTATS 2021, where we study the ...

EquiPy:Python package for Sequential Fairness using ... - YouTube

EquiPy:Python package for Sequential Fairness using Optimal Transport with Applications in Insurance. 24 views · Streamed 2 days ago ...more ...

JSM 2021 Online Program - American Statistical Association

We show that so-called fairness issues can be formulated as an optimal transport problem. In particular, the Wasserstein barycenter turns to be a candidate ...

Obtaining Dyadic Fairness by Optimal Transport | Papers With Code

Obtaining Dyadic Fairness by Optimal Transport ... Fairness has been taken as a critical metric in machine learning models, which is considered as ...

Addressing Fairness and Explainability in Image Classification ...

Addressing Fairness and Explainability in Image Classification Using Optimal Transport: Paper and Code. Algorithmic Fairness and the explainability of ...

Fair Regression with Wasserstein Barycenters

Connections between algorithmic fairness and. Optimal Transport, and in particular the problem of Wasserstein barycenters, has been studied in. [12, 20, 24, 43] ...

FlipTest: fairness testing via optimal transport (Conference Paper)

Black, Emily, Yeom, Samuel, and Fredrikson, Matt. FlipTest: fairness testing via optimal transport. Retrieved from https://par.nsf.gov/biblio/ ...

Fairness and Privacy in the Optimal Transport for Resource Allocation

Optimal transport (OT) is a framework that facilitates the most efficient allocation of a limited amount of resources. It aims to maximize the aggregated ...

An Algorithmic Foundation for Fair, Secure, and Differentially Private ...

Optimal transport (OT) is a framework that can be used to facilitate the optimal allocation of resources in a network with multiple source and target nodes.