Work

The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-86520-7_22

Authors: Maarten Buyl, Tijl De Bie

Institution: Ghent University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

Funders: Fonds Wetenschappelijk Onderzoek, Universiteit Gent, Vlaamse regering, Horizon 2020 Framework Programme, H2020 European Research Council

Awards: G1031778900, G1464064545, A network embedding approach to a fair, efficient and fulfilling job market., Fair, Effective, and Sustainable Talent Management using Conditional Network Embedding, Exploring Data: Theoretical Foundations and Applications to Web, Multimedia, and Omics Data, Data Mining without Spilling the Beans: Preserving more than Privacy Alone

OpenAlex ID: W3134836924

FWCI: 3.157

Cites: 40

Cited by: 15

Related to: 10