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Fairness is increasingly recognized as a critical component of machine learning systems.
The Use of Matched Sampling and Regression Adjustment in Observational Studies
Donald B Rubin · 1970
Earlier work this paper cites.
Graphoids: A graph-based logic for reasoning about relevance relations
Judea Pearl and Azaria Paz · 1985
Earlier work this paper cites.
Statistics and causal inference: Comment: Which ifs have causal answers
Donald B Rubin · 1986
Earlier work this paper cites.
Foundations of Databases
Serge Abiteboul, Richard Hull, and Victor Vianu · 1995
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A note on combining dependent tests of significance
Joachim Hartung · 1999
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On the implication problem for probabilistic conditional independency
SK Michael Wong, Cory J. Butz, and Dan Wu · 2000
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Learning bayesian network model structure from data
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Learning bayesian networks
Richard E Neapolitan et al · 2004
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Identifiability of path-specific effects
Chen Avin, Ilya Shpitser, and Judea Pearl · 2005
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Comment: The design and analysis of gold standard randomized experiments
Donald B Rubin · 2008
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Building classifiers with independency constraints
Toon Calders, Faisal Kamiran, and Mykola Pechenizkiy · 2009
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Classifying without discriminating
Faisal Kamiran and Toon Calders · 2009
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Causality
Judea Pearl · 2009
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Causal inference in statistics: An overview
Judea Pearl et al · 2009
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On the complexity of nonnegative matrix factorization
Stephen A Vavasis · 2009
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Three naive bayes approaches for discrimination-free classification
Toon Calders and Sicco Verwer · 2010
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Database Repairing and Consistent Query Answering
Leopoldo E. Bertossi · 2011
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Algorithms for nonnegative matrix factorization with the β \beta -divergence
Cédric Févotte and Jérôme Idier · 2011
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k-nn as an implementation of situation testing for discrimination discovery and prevention
Binh Thanh Luong, Salvatore Ruggieri, and Franco Turini · 2011
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Handling conditional discrimination
Indre Žliobaite, Faisal Kamiran, and Toon Calders · 2011
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Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
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Fairness-aware classifier with prejudice remover regularizer
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, and Jun Sakuma · 2012
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Websites vary prices, deals based on users’ information
Jennifer Valentino-Devries, Jeremy Singer-Vine, and Ashkan Soltani · 2012
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Uci machine learning repository, 2013
M. Lichman · 2013
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Learning fair representations
Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, and Cynthia Dwork · 2013
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Open-wbo: A modular maxsat solver
Ruben Martins, Vasco Manquinho, and Inês Lynce · 2014
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Matt J. Kusner, Joshua R. Loftus, Chris Russell, and Ricardo Silva · 2017
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A comparison of marginal odds ratio estimators
Travis M Loux, Christiana Drake, and Julie Smith-Gagen · 2017
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When worlds collide: integrating different counterfactual assumptions in fairness
Chris Russell, Matt J Kusner, Joshua Loftus, and Ricardo Silva · 2017
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Disparate impact in big data policing
Andrew D Selbst · 2017
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The problem of infra-marginality in outcome tests for discrimination
Camelia Simoiu, Sam Corbett-Davies, Sharad Goel, et al · 2017
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Fairtest: Discovering unwarranted associations in data-driven applications
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Probabilistic reasoning in intelligent systems: networks of plausible inference
Judea Pearl · 2014
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Are workplace personality tests fair?
Lauren Weber and Elizabeth Dwoskin · 2014
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Certifying and removing disparate impact
Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian · 2015
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Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, Nati Srebro, et al · 2016
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Amazon doesn’t consider the race of its customers. should it?
David Ingold and Spencer Soper · 2016
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How we analyzed the compas recidivism algorithm
Jeff Larson, Surya Mattu, Lauren Kirchner, and Julia Angwin · 2016
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Florian Tramer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Jean-Pierre Hubaux, Mathias Humbert, Ari Juels, and Huang Lin · 2017
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Learning non-discriminatory predictors
Blake Woodworth, Suriya Gunasekar, Mesrob I. Ohannessian, and Nathan Srebro · 2017
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Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi · 2017
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Fairness Constraints: Mechanisms for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, and Krishna P. Gummadi · 2017
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Bias detectives: the researchers striving to make algorithms fair
Rachel Courtland · 2018
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Rpt-insight-amazon scraps secret ai recruiting tool that showed bias against women
Jeffrey Dastin · 2018
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Computing optimal repairs for functional dependencies
Ester Livshits, Benny Kimelfeld, and Sudeepa Roy · 2018
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Causal reasoning for algorithmic fairness
Joshua R Loftus, Chris Russell, Matt J Kusner, and Ricardo Silva · 2018
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Fair inference on outcomes
Razieh Nabi and Ilya Shpitser · 2018
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Bias in olap queries: Detection, explanation, and removal
Babak Salimi, Johannes Gehrke, and Dan Suciu · 2018
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Fairness and accountability design needs for algorithmic support in high-stakes public sector decision-making
Michael Veale, Max Van Kleek, and Reuben Binns · 2018
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Fairness definitions explained
Sahil Verma and Julia Rubin · 2018
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Provenance analysis for missing answers and integrity repairs
Jane Xu, Waley Zhang, Abdussalam Alawini, and Val Tannen · 2018
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Interventional fairness: Causal database repair for algorithmic fairness
Babak Salimi, Luke Rodriguez, Bill Howe, and Dan Suciu · 2019
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