Your Neighbor Matters: Towards Fair Decisions Under Networked Interference-Reference-Cited by-同舟云学术

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference

Published:2024-08-24 Issue: Volume:1 Page:3829-3840
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yang Wenjing¹^ORCID,Wang Haotian¹^ORCID,Li Haoxuan²^ORCID,Zou Hao³^ORCID,Jin Ruochun¹^ORCID,Kuang Kun⁴^ORCID,Cui Peng⁵^ORCID

Affiliation:

1. Department of Intelligent Data Science, College of Computer, National University of Defense Technology, Changsha, China

2. Peking University, Beijing, China

3. ZGC laboratory, Beijing, China

4. Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China

5. Tsinghua University, Beijing, China

Funder

Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study

NUDT Youth Independent Innovation Science Fund Project

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671960

Reference43 articles.

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3. A Critical Look at the 2019 College Admissions Scandal?

4. Path-Specific Counterfactual Fairness

5. Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, and Hisashi Kashima. 2021. Learning individually fair classifier with path-specific causal-effect constraint. In International conference on artificial intelligence and statistics. PMLR, 145--153.