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Fairness, through its many forms and definitions, has become an important issue facing the machine learning community.
Homo hierarchicus: The caste system and its implications
L. Dumont · 1980
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Bayes–hermite quadrature
A. O’Hagan · 1991
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Bagging predictors
L. Breiman · 1996
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Random forests
L. Breiman · 2001
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Gaussian processes in machine learning
C. E. Rasmussen · 2004
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Affirmative action in the United States and India
T. E. Weisskopf · 2004
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Extremely randomized trees
P. Geurts, D. Ernst, and L. Wehenkel · 2006
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A working guide to boosted regression trees
J. Elith, J. R. Leathwick, and T. Hastie · 2008
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Data mining with decision trees: theory and applications , volume 69
L. Rokach and O. Z. Maimon · 2008
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Top 10 algorithms in data mining
X. Wu, V. Kumar, J. R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. J. McLachlan, A. Ng, B. Liu, S. Y. Philip, et al · 2008
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Classifying without discriminating
F. Kamiran and T. Calders · 2009
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Three naive bayes approaches for discrimination-free classification
T. Calders and S. Verwer · 2010
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Discrimination aware decision tree learning
F. Kamiran, T. Calders, and M. Pechenizkiy · 2010
Cited alongside, same era.
Fairness-aware learning through regularization approach
T. Kamishima, S. Akaho, and J. Sakuma · 2011
Cited alongside, same era.
k-nn as an implementation of situation testing for discrimination discovery and prevention
B. T. Luong, S. Ruggieri, and F. Turini · 2011
Cited alongside, same era.
Decision theory for discrimination-aware classification
F. Kamiran, A. Karim, and X. Zhang · 2012
Cited alongside, same era.
Big data: Seizing opportunities, preserving values
United States. Executive Office of the President and J. Podesta · 2014
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Compas risk scales: Demonstrating accuracy equity and predictive parity
W. Dieterich, C. Mendoza, and T. Brennan · 2016
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A convex framework for fair regression
R. Berk, H. Heidari, S. Jabbari, M. Joseph, M. Kearns, J. Morgenstern, S. Neel, and A. Roth · 2017
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Affirmative action in india
A. Deshpande · 2017
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On formalizing fairness in prediction with machine learning
P. Gajane · 2017
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Linearly constrained gaussian processes
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Active learning of model evidence using bayesian quadrature
M. Osborne, R. Garnett, Z. Ghahramani, D. K. Duvenaud, S. J. Roberts, and C. E. Rasmussen · 2012
Cited alongside, same era.
Controlling attribute effect in linear regression
T. Calders, A. Karim, F. Kamiran, W. Ali, and X. Zhang · 2013
Cited alongside, same era.
Deep gaussian processes
A. Damianou and N. Lawrence · 2013
Cited alongside, same era.
C. Jidling, N. Wahlström, A. Wills, and T. B. Schön · 2017
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On fairness and calibration
G. Pleiss, M. Raghavan, F. Wu, J. Kleinberg, and K. Q. Weinberger · 2017
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Fair forests: Regularized tree induction to minimize model bias
E. Raff, J. Sylvester, and S. Mills · 2017
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The accuracy, fairness, and limits of predicting recidivism
J. Dressel and H. Farid · 2018
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