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It has recently been shown that if feedback effects of decisions are ignored, then imposing fairness constraints such as demographic parity or equality of opportunity can actually exacerbate unfairness.
Constrained Markov decision processes , volume 7
Eitan Altman · 1999
Earlier work this paper cites.
The cross entropy method for fast policy search
Shie Mannor, Reuven Y Rubinstein, and Yohai Gat · 2003
Earlier work this paper cites.
Building classifiers with independency constraints
Toon Calders, Faisal Kamiran, and Mykola Pechenizkiy · 2009
Earlier work this paper cites.
Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
Earlier work this paper cites.
A stochastic approximation framework for a class of randomized optimization algorithms
Jiaqiao Hu, Ping Hu, and Hyeong Soo Chang · 2012
Earlier work this paper cites.
Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, Nati Srebro, et al · 2016
Earlier work this paper cites.
Fairness in learning: Classic and contextual bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern, and Aaron Roth · 2016
Earlier work this paper cites.
Constrained policy optimization
Joshua Achiam, David Held, Aviv Tamar, and Pieter Abbeel · 2017
Earlier work this paper cites.
Fairness in reinforcement learning
Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth · 2017
Cited alongside, same era.
Avoiding discrimination through causal reasoning
Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Schölkopf · 2017
Cited alongside, same era.
Counterfactual fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva · 2017
Cited alongside, same era.
The selective labels problem: Evaluating algorithmic predictions in the presence of unobservables
Himabindu Lakkaraju, Jon Kleinberg, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan · 2017
Cited alongside, same era.
Fairness without demographics in repeated loss minimization
Tatsunori B Hashimoto, Megha Srivastava, Hongseok Namkoong, and Percy Liang · 2018
Cited alongside, same era.
Delayed impact of fair machine learning
Lydia T Liu, Sarah Dean, Esther Rolf, Max Simchowitz, and Moritz Hardt · 2018
Constrained cross-entropy method for safe reinforcement learning
Min Wen and Ufuk Topcu · 2018
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Equal opportunity in online classification with partial feedback
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, and Zhiwei Steven Wu · 2019
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Causal modeling for fairness in dynamical systems
Elliot Creager, David Madras, Toniann Pitassi, and Richard Zemel · 2019
Closest in time.
Fair algorithms for learning in allocation problems
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, and Zachary Schutzman · 2019
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Fair decisions despite imperfect predictions
Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, and Isabel Valera · 2019
Closest in time.
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Cited alongside, same era.
Fair inference on outcomes
Razieh Nabi and Ilya Shpitser · 2018
Cited alongside, same era.
Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
Cited alongside, same era.
Bandit algorithms
Tor Lattimore and Csaba Szepesvári
Cited in the paper.
High-dimensional statistics: A non-asymptotic viewpoint
Martin J. Wainwright · 2019
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Beyond individual and group fairness
Pranjal Awasthi, Corinna Cortes, Yishay Mansour, and Mehryar Mohri · 2020
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Fairness is not static: deeper understanding of long term fairness via simulation studies
Alexander D’Amour, Hansa Srinivasan, James Atwood, Pallavi Baljekar, D Sculley, and Yoni Halpern · 2020
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