Fair Transfer Learning with Missing Protected Attributes-Reference-Cited by-同舟云学术

Fair Transfer Learning with Missing Protected Attributes

Published:2019-01-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
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Author:

Coston Amanda¹,Ramamurthy Karthikeyan Natesan²,Wei Dennis²,Varshney Kush R.²,Speakman Skyler³,Mustahsan Zairah⁴,Chakraborty Supriyo²

Affiliation:

1. IBM Research & Carnegie Mellon University, Yorktown Heights, NY, USA

2. IBM Research, Yorktown Heights, NY, USA

3. IBM Research, Nairobi, Kenya

4. IBM Watson AI Platform, Yorktown Heights, NY, USA

Funder

U.S. Army Research Lab and the U.K. Ministry of Defence

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3306618.3314236

Reference25 articles.

1. Automatic Differentiation in Machine Learning: A Survey;Baydin Atilim Günecs;Journal of Machine Learning Research,2018

2. Discriminative Learning Under Covariate Shift;Bickel Steffen;Journal of Machine Learning Research,2009

3. BRINGING GENDER AND RACE IN:

4. Jiahao Chen Nathan Kallus Xiaojie Mao Geoffrey Svacha and Madeleine Udell. 2018. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. arXiv preprint arXiv:1811.11154 (2018). 10.1145/3287560.3287594 Jiahao Chen Nathan Kallus Xiaojie Mao Geoffrey Svacha and Madeleine Udell. 2018. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. arXiv preprint arXiv:1811.11154 (2018). 10.1145/3287560.3287594

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