Clustering with Fair-Center Representation-Reference-Cited by-同舟云学术

Clustering with Fair-Center Representation

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Thejaswi Suhas¹,Gadekar Ameet¹,Ordozgoiti Bruno²,Osadnik Michal¹

Affiliation:

1. Aalto University, Espoo, Finland

2. Queen Mary University of London, London, United Kingdom

Funder

European Research Council

Academy of Finland

Acacemy of Finland

Nokia Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539487

Reference39 articles.

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3. SIAM Journal on computing 33, 3;Arya Vijay,2004

4. Olivier Bachem , Mario Lucic , and Andreas Krause . 2017. Practical coreset constructions for machine learning. arXiv preprint arXiv:1703.06476 ( 2017 ). Olivier Bachem, Mario Lucic, and Andreas Krause. 2017. Practical coreset constructions for machine learning. arXiv preprint arXiv:1703.06476 (2017).

5. Arturs Backurs Piotr Indyk Krzysztof Onak Baruch Schieber Ali Vakilian and Tal Wagner. 2019. Scalable fair clustering. In ICML. Arturs Backurs Piotr Indyk Krzysztof Onak Baruch Schieber Ali Vakilian and Tal Wagner. 2019. Scalable fair clustering. In ICML.

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2. Parameterized Approximation Schemes for Clustering with General Norm Objectives;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

3. Clustering with Fair-Center Representation;Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2022-08-14