Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification-Reference-Cited by-同舟云学术

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
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Author:

Islam Maliha Tashfia¹,Fariha Anna²,Meliou Alexandra¹,Salimi Babak³

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

2. Microsoft, Redmond, WA, USA

3. University of California, San Diego, San Diego, CA, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3517841

Reference94 articles.

1. Alekh Agarwal Alina Beygelzimer Miroslav Dud'ik John Langford and Hanna M Wallach. 2018. A Reductions Approach to Fair Classification. In ICML. Alekh Agarwal Alina Beygelzimer Miroslav Dud'ik John Langford and Hanna M Wallach. 2018. A Reductions Approach to Fair Classification. In ICML.

2. Saba Ahmadi , Sainyam Galhotra , Barna Saha , and Roy Schwartz . 2020. Fair Correlation Clustering. CoRR , Vol. abs/ 2002 .03508 ( 2020 ). arxiv: 2002.03508 https://arxiv.org/abs/2002.03508 Saba Ahmadi, Sainyam Galhotra, Barna Saha, and Roy Schwartz. 2020. Fair Correlation Clustering. CoRR, Vol. abs/2002.03508 (2020). arxiv: 2002.03508 https://arxiv.org/abs/2002.03508

3. Fairly evaluating and scoring items in a data set

4. Designing Fair Ranking Schemes

5. Big data's disparate impact;Barocas Solon;Calif. L. Rev.,2016

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