Fairness in network representation by latent structural heterogeneity in observational data

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Original languageEnglish
Title of host publicationProceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
Publication statusAccepted/In press - 2020
Event34th AAAI conference on Artificial Intelligence (AAAI2020) - New York, United States
Duration: 7 Feb 202012 Feb 2020
https://aaai.org/Conferences/AAAI-20/

Conference

Conference34th AAAI conference on Artificial Intelligence (AAAI2020)
Abbreviated titleAAAI2020
CountryUnited States
CityNew York
Period7/02/2012/02/20
Internet address

Cite this

Du, X., Pei, Y., Duivesteijn, W., & Pechenizkiy, M. (Accepted/In press). Fairness in network representation by latent structural heterogeneity in observational data. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
@inproceedings{d9a776eccf924778b1fa18c2b706844b,
title = "Fairness in network representation by latent structural heterogeneity in observational data",
author = "Xin Du and Yulong Pei and Wouter Duivesteijn and Mykola Pechenizkiy",
year = "2020",
language = "English",
booktitle = "Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)",

}

Du, X, Pei, Y, Duivesteijn, W & Pechenizkiy, M 2020, Fairness in network representation by latent structural heterogeneity in observational data. in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). 34th AAAI conference on Artificial Intelligence (AAAI2020), New York, United States, 7/02/20.

Fairness in network representation by latent structural heterogeneity in observational data. / Du, Xin; Pei, Yulong; Duivesteijn, Wouter; Pechenizkiy, Mykola.

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). 2020.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Fairness in network representation by latent structural heterogeneity in observational data

AU - Du, Xin

AU - Pei, Yulong

AU - Duivesteijn, Wouter

AU - Pechenizkiy, Mykola

PY - 2020

Y1 - 2020

M3 - Conference contribution

BT - Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

ER -

Du X, Pei Y, Duivesteijn W, Pechenizkiy M. Fairness in network representation by latent structural heterogeneity in observational data. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). 2020