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Rankings are ubiquitous in the online world today.
Lattice theory
Garrett Birkhoff. 1940 · 1940
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Google Image search for CEO has Barbie as first female result
Amelia Butterly. 2015 · 2015
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Ranking with Fairness Constraints
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Razieh Nabi and Ilya Shpitser. 2017 · 2017
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Matthew Kay, Cynthia Matuszek, and Sean A. Munson. 2015 · 2015
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On the relation between accuracy and fairness in binary classification
Indre Zliobaite. 2015 · 2015
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Big data’s disparate impact
Solon Barocas and Andrew D Selbst. 2016 · 2016
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Notes on Birkhoff–von Neumann decomposition of doubly stochastic matrices
Fanny Dufossé and Bora Uçar. 2016 · 2016
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Equality of opportunity in supervised learning. In NIPS
Moritz Hardt, Eric Price, and Nati Srebro. 2016 · 2016
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Recommendations as Treatments: Debiasing Learning and Evaluation. In ICML
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, and Thorsten Joachims. 2016 · 2016
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Mark Scott. 2017 · 2017
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Equality of Opportunity in Rankings. In NIPS Workshop on Prioritizing Online Content (WPOC)
A. Singh and T. Joachims. 2017 · 2017
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Learning non-discriminatory predictors
Blake Woodworth, Suriya Gunasekar, Mesrob I Ohannessian, and Nathan Srebro. 2017 · 2017
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Measuring fairness in ranked outputs
Ke Yang and Julia Stoyanovich. 2017 · 2017
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Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment. In WWW
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi. 2017 · 2017
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FA* IR: A Fair Top-k Ranking Algorithm
Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, and Ricardo Baeza-Yates. 2017 · 2017
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Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J Biega, Krishna P Gummadi, and Gerhard Weikum. 2018 · 2018
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