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The ethical concept of fairness has recently been applied in machine learning (ML) settings to describe a wide range of constraints and objectives.
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Hanna Tuomisto. 2011 · 2011
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Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012 · 2012
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Determinantal point processes for machine learning
Why Diversity Programs Fail and What Works Better
Frank Dobbin and Alexandra Kalev. 2016 · 2016
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Utilitarianism
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Ranking with Fairness Constraints
L. Elisa Celis, Damian Straszak, and Nisheeth K. Vishnoi. 2017 · 2017
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Diversity in big data: A review
Marina Drosou, HV Jagadish, Evaggelia Pitoura, and Julia Stoyanovich. 2017 · 2017
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Diversity is Being Asked to the Party. Inclusion is Being Asked to Dance. #SHRMDIV
Anthony Paradiso. 2017 · 2017
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Equality of opportunity in rankings. In
Ashudeep Singh and Thorsten Joachims. 2017 · 2017
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Learning mixtures of submodular shells with application to document summarization
Hui Lin and Jeff A Bilmes. 2012 · 2012
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The stereotypical computer scientist: Gendered media representations as a barrier to inclusion for women
Sapna Cheryan, Victoria C Plaut, Caitlin Handron, and Lauren Hudson. 2013 · 2013
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The Enigma of Diversity: The Language of Race and the Limits of Racial Justice
Ellen Berrey. 2015 · 2015
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Monte Carlo Markov chain algorithms for sampling strongly Rayleigh distributions and determinantal point processes. In
Nima Anari, Shayan Oveis Gharan, and Alireza Rezaei. 2016 · 2016
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Big data’s disparate impact
Solon Barocas and Andrew D Selbst. 2016 · 2016
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L Elisa Celis, Amit Deshpande, Tarun Kathuria, and Nisheeth K Vishnoi. 2016 · 2016
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Tokenism: The Result of Diversity Without Inclusion
Tonie Snell. 2017 · 2017
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Measuring fairness in ranked outputs. In
Ke Yang and Julia Stoyanovich. 2017 · 2017
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The price of fair PCA: One extra dimension. In
Samira Samadi, Uthaipon Tantipongpipat, Jamie H Morgenstern, Mohit Singh, and Santosh Vempala. 2018 · 2018
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Assessing and remedying coverage for a given dataset. In
Abolfazl Asudeh, Zhongjun Jin, and HV Jagadish. 2019 · 2019
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The unreasonable fairness of maximum Nash welfare
Ioannis Caragiannis, David Kurokawa, Hervé Moulin, Ariel D Procaccia, Nisarg Shah, and Junxing Wang. 2019 · 2019
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Diverse sequential subset selection for supervised video summarization. In
Boqing Gong, Wei-Lun Chao, Kristen Grauman, and Fei Sha. 2014 · 2077
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