FAIRRET : a framework for differentiable fairness regularization terms
- Author
- Maarten Buyl (UGent) , Marybeth Defrance (UGent) and Tijl De Bie (UGent)
- Organization
- Project
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- Onderzoeksprogramma Artificiële Intelligentie - 2023
- Exploring Data: Theoretical Foundations and Applications to Web, Multimedia, and Omics Data
- Automating Data Science: the Next Frontiers
- A network embedding approach to a fair, efficient and fulfilling job market.
- Conditional Knowledge Graph Embedding
- Formalizing Subjective Interestingness in Exploratory Data Mining
- Flanders Artificial Intelligence Research program (FAIR) – second cycle - 2024
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HXTYTHJM83VFV1EXT132XCR7
- MLA
- Buyl, Maarten, et al. “FAIRRET : A Framework for Differentiable Fairness Regularization Terms.” ICLR 2024 : The Twelfth International Conference on Learning Representations, Proceedings, OpenReview, 2024.
- APA
- Buyl, M., Defrance, M., & De Bie, T. (2024). FAIRRET : a framework for differentiable fairness regularization terms. ICLR 2024 : The Twelfth International Conference on Learning Representations, Proceedings. Presented at the The Twelfth International Conference on Learning Representations, Vienna, Austria.
- Chicago author-date
- Buyl, Maarten, Marybeth Defrance, and Tijl De Bie. 2024. “FAIRRET : A Framework for Differentiable Fairness Regularization Terms.” In ICLR 2024 : The Twelfth International Conference on Learning Representations, Proceedings. Vienna: OpenReview.
- Chicago author-date (all authors)
- Buyl, Maarten, Marybeth Defrance, and Tijl De Bie. 2024. “FAIRRET : A Framework for Differentiable Fairness Regularization Terms.” In ICLR 2024 : The Twelfth International Conference on Learning Representations, Proceedings. Vienna: OpenReview.
- Vancouver
- 1.Buyl M, Defrance M, De Bie T. FAIRRET : a framework for differentiable fairness regularization terms. In: ICLR 2024 : the Twelfth International Conference on Learning Representations, Proceedings. Vienna: OpenReview; 2024.
- IEEE
- [1]M. Buyl, M. Defrance, and T. De Bie, “FAIRRET : a framework for differentiable fairness regularization terms,” in ICLR 2024 : the Twelfth International Conference on Learning Representations, Proceedings, Vienna, Austria, 2024.
@inproceedings{01HXTYTHJM83VFV1EXT132XCR7,
author = {{Buyl, Maarten and Defrance, Marybeth and De Bie, Tijl}},
booktitle = {{ICLR 2024 : the Twelfth International Conference on Learning Representations, Proceedings}},
language = {{eng}},
location = {{Vienna, Austria}},
pages = {{28}},
publisher = {{OpenReview}},
title = {{FAIRRET : a framework for differentiable fairness regularization terms}},
year = {{2024}},
}