Fetching the paper…
Reading the bibliography…
Non-discrimination is a recognized objective in algorithmic decision making.
Uniform guidelines on employee selection procedures
EEOC, The U.S · 1979
Earlier work this paper cites.
A User’s Guide to Measure Theoretic Probability
Pollard, David · 2002
Earlier work this paper cites.
Convex Optimization
Boyd, S. and Vandenberghe, L · 2004
Earlier work this paper cites.
Information theory and statistics: A tutorial
Csiszár, Imre and Shields, Paul C · 2004
Earlier work this paper cites.
Clustering with Bregman divergences
Banerjee, Arindam, Merugu, Srujana, Dhillon, Inderjit S., and Ghosh, Joydeep · 2005
Earlier work this paper cites.
Elements of Information Theory
Cover, Thomas M. and Thomas, Joy A · 2006
Earlier work this paper cites.
t-closeness: Privacy beyond k-anonymity and l-diversity
Li, Ninghui, Li, Tiancheng, and Venkatasubramanian, Suresh · 2007
Earlier work this paper cites.
Discrimination-aware data mining
Pedreschi, Dino, Ruggieri, Salvatore, and Turini, Franco · 2008
Earlier work this paper cites.
Fairness-aware learning through regularization approach
Kamishima, Toshihiro, Akaho, Shotaro, and Sakuma, Jun · 2011
Earlier work this paper cites.
Handling conditional discrimination
Žliobaitė, Indrė, Kamiran, Faisal, and Calders, Toon · 2011
Earlier work this paper cites.
Fairness through awareness
Dwork, Cynthia, Hardt, Moritz, Pitassi, Toniann, Reingold, Omer, and Zemel, Richard · 2012
Earlier work this paper cites.
Data preprocessing techniques for classification without discrimination
Kamiran, Faisal and Calders, Toon · 2012
Cited alongside, same era.
A study of top-k measures for discrimination discovery
Pedreschi, Dino, Ruggieri, Salvatore, and Turini, Franco · 2012
Cited alongside, same era.
Why unbiased computational processes can lead to discriminative decision procedures
Calders, Toon and Žliobaitė, Indrė · 2013
Cited alongside, same era.
Simultaneous Discrimination Prevention and Privacy Protection in Data Publishing and Mining
Hajian, Sara · 2013
Cited alongside, same era.
A methodology for direct and indirect discrimination prevention in data mining
Hajian, Sara and Domingo-Ferrer, Josep · 2013
Cited alongside, same era.
UCI machine learning repository, 2013
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Chouldechova, Alexandra · 2016
Later among the works it cites.
CVXPY: A Python-embedded modeling language for convex optimization
Diamond, Steven and Boyd, Stephen · 2016
Later among the works it cites.
A confidence-based approach for balancing fairness and accuracy
Fish, Benjamin, Kun, Jeremy, and Lelkes, Ádám D · 2016
Later among the works it cites.
On the (im) possibility of fairness
Friedler, Sorelle A, Scheidegger, Carlos, and Venkatasubramanian, Suresh · 2016
Later among the works it cites.
Equality of opportunity in supervised learning
Hardt, Moritz, Price, Eric, and Srebro, Nathan · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Lichman, M · 2013
Cited alongside, same era.
Learning fair representations
Zemel, Richard, Wu, Yu (Ledell), Swersky, Kevin, Pitassi, Toniann, and Dwork, Cynthia · 2013
Cited alongside, same era.
Beyond Fano’s inequality: Bounds on the optimal F-score, BER, and cost-sensitive risk and their implications
Zhao, Ming-Jie, Edakunni, Narayanan, Pocock, Adam, and Brown, Gavin · 2013
Cited alongside, same era.
Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010
Durose, Matthew R, Cooper, Alexia D, and Snyder, Howard N · 2014
Cited alongside, same era.
Using t-closeness anonymity to control for non-discrimination
Ruggieri, Salvatore · 2014
Cited alongside, same era.
Certifying and removing disparate impact
Feldman, Michael, Friedler, Sorelle A, Moeller, John, Scheidegger, Carlos, and Venkatasubramanian, Suresh · 2015
Cited alongside, same era.
COMPAS - the most scientifically advanced risk and needs assessments
Northpointe Inc
Cited in the paper.
ProPublica · 2016
Later among the works it cites.
Zafar, Muhammad Bilal, Valera, Isabel, Rodriguez, Manuel Gomez, and Gummadi, Krishna P · 2016
Later among the works it cites.
Identifying significant predictive bias in classifiers
Zhang, Zhe and Neill, Daniel B · 2016
Later among the works it cites.
Algorithmic decision making and the cost of fairness
Corbett-Davies, Sam, Pierson, Emma, Feller, Avi, Goel, Sharad, and Huq, Aziz · 2017
Closest in time.
Inherent trade-offs in the fair determination of risk scores
Kleinberg, Jon, Mullainathan, Sendhil, and Raghavan, Manish · 2017
Closest in time.
COMPAS Recidivism Risk Score Data and Analysis
ProPublica · 2017
Closest in time.