Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Document Type
Conference Proceeding
Role
Contributor
Publication
FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Publisher
Association of Computing Machinery
First Page
200
Last Page
209
Publication Date
2020
Repository Citation
Slack, D., Friedler, S., and Givental, E. (2020). "Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data." In FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, (Association of Computing Machinery): 200-209.
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