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  Fairness without Demographics through Adversarially Reweighted Learning

Lahoti, P., Beutel, A., Chen, J., Lee, K., Prost, F., Thain, N., et al. (2020). Fairness without Demographics through Adversarially Reweighted Learning. In H. Larochelle, M. A. Ranzato, R. Hadsell, M.-F. Balcan, & H.-T. Lin (Eds.), Advances in Neural Information Processing Systems 33. Curran Associates, Inc.

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Genre: Conference Paper

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 Creators:
Lahoti, Preethi1, Author           
Beutel, Alex2, Author
Chen, Jilin2, Author
Lee, Kang2, Author
Prost, Flavien2, Author
Thain, Nithum2, Author
Wang, Xuezhi2, Author
Chi, Ed2, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: 11 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: DBLP:conf/nips/LahotiBCLPT0C20
 Degree: -

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Title: 34th Conference on Neural Information Processing Systems
Place of Event: Virtual Event
Start-/End Date: 2020-12-06 - 2020-12-12

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Title: Advances in Neural Information Processing Systems 33
  Abbreviation : NIPS 2020
  Other : NeurIPS 2020
  Other : 34th Conference on Neural Information Processing Systems
Source Genre: Proceedings
 Creator(s):
Larochelle, Hugo1, Editor
Ranzato, Marc Aurelio1, Editor
Hadsell, Raia1, Editor
Balcan, Maria-Florina1, Editor
Lin, Hsuan-Tien1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Curran Associates, Inc.
Pages: 13 p. Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -