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In this paper we consider clustering problems in which each point is endowed with a color.
Fair Algorithms for Clustering
Suman K Bera, Deeparnab Chakrabarty, and Maryam Negahbani. 2019 · 1901
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Language modeling by clustering with word embeddings for text readability assessment. In CIKM
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Constrained Clustering: Algorithms, Applications and Theory
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Three naive Bayes approaches for discrimination-free classification
Toon Calders and Sicco Verwer. 2010 · 2010
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Data clustering: 50 years beyond K K -means
Anil K Jain. 2010 · 2010
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Clustering with Diversity. In ICALP
Jian Li, Ke Yi, and Qin Zhang. 2010 · 2010
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Fairness-aware learning through regularization approach. In ICDMW
Toshihiro Kamishima, Shotaro Akaho, and Jun Sakuma. 2011 · 2011
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Fairness through awareness. In ITCS
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012 · 2012
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Fairness-aware classifier with prejudice remover regularizer. In PKDD
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, and Jun Sakuma. 2012 · 2012
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DeepWalk: Online Learning of Social Representations. In KDD
B. Perozzi, R. Al-Rfou, and S. Skiena. 2014 · 2014
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Fairness in learning: Classic and contextual bandits. In NIPS
Matthew Joseph, Michael Kearns, Jamie H Morgenstern, and Aaron Roth. 2016 · 2016
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Fair clustering through fairlets. In NIPS
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, and Sergei Vassilvitskii. 2017 · 2017
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Measuring fairness in ranked outputs. In SSDBM
Ke Yang and Julia Stoyanovich. 2017 · 2017
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On the cost of essentially fair clusterings
Ioana O. Bercea, Martin Gross, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, and Melanie Schmidt. 2018 · 2018
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Incentive-Aware Learning for Large Markets. In WWW
Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, and Song Zuo. 2018 · 2018
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Fifty Victorian Era Novelists Authorship Attribution Data
Abdulmecit Gungor. 2018 · 2018
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Certifying and removing disparate impact. In KDD
Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian. 2015 · 2015
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A confidence-based approach for balancing fairness and accuracy. In SDM
Benjamin Fish, Jeremy Kun, and Ádám D Lelkes. 2016 · 2016
Cited alongside, same era.
Multiwinner Voting with Fairness Constraints.. In IJCAI
L Elisa Celis, Lingxiao Huang, and Nisheeth K Vishnoi. 2018a
Cited in the paper.
Ranking with Fairness Constraints. In ICALP
L. Elisa Celis, Damian Straszak, and Nisheeth K. Vishnoi. 2018b
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Privacy preserving clustering with constraints. In ICALP
Clemens Rösner and Melanie Schmidt. 2018 · 2018
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Scalable Fair Clustering. In ICML
Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, and Tal Wagner. 2019 · 2019
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