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Researcher
Maarten Buyl
- Keywords:Recommender Systems, Data Science
- Disciplines:Other computer engineering, information technology and mathematical engineering not elsewhere classified
Affiliations
- Department of Electronics and information systems (Department)
Member
From1 Sep 2019 → Today
Projects
1 - 1 of 1
- A network embedding approach to a fair, efficient and fulfilling job market.From1 Nov 2020 → 31 Dec 2023Funding: BOF - doctoral mandates
Publications
1 - 6 of 6
- Inherent limitations of AI fairness(2024)
Authors: Maarten Buyl, Tijl De Bie
Pages: 48 - 55 - RankFormer : listwise learning-to-rank using listwide labels(2023)
Authors: Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
Pages: 3762 - 3773 - Tackling algorithmic disability discrimination in the hiring process : an ethical, legal and technical analysis(2022)
Authors: Maarten Buyl, Christina Cociancig, Cristina Frattone, Nele Roekens
Pages: 1071 - 1082 - Optimal transport of classifiers to fairness(2022)
Authors: Maarten Buyl, Tijl De Bie, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh
Number of pages: 1 - The KL-divergence between a graph model and its fair I-projection as a fairness regularizer(2021)Volume: 12976
Authors: Maarten Buyl, Tijl De Bie, Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano
Pages: 351 - 366 - DeBayes : a Bayesian method for debiasing network embeddings(2020)Volume: 119
Authors: Maarten Buyl, Tijl De Bie, H. Daume, A. Singh
Pages: 1220 - 1229