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We present pairwise fairness metrics for ranking models and regression models that form analogues of statistical fairness notions such as equal opportunity, equal accuracy, and statistical parity.
Critical analysis of the statistical and ethical implications of various definitions of test bias
J. E. Hunter and F. L. Schmidt · 1976
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Learning to Rank for Information Retrieval
T.-Y. Liu · 2011
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C. Dwork, M. Hardt, T. Pitassi, O. Reingold, and R. Zemel · 2012
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Satisfying real-world goals with dataset constraints
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Equality of opportunity in supervised learning
M. Hardt, E. Price, and N. Srebro · 2016
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A convex framework for fair regression
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Robust optimization for non-convex objectives
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Counterfactual fairness
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Fair kernel learning
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Fairness constraints: Mechanisms for fair classification
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FA*IR: A fair top-k ranking algorithm
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A reductions approach to fair classification
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Equity of attention: Amortizing individual fairness in rankings
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Ranking with fairness constraints
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Fair forests: Regularized tree induction to minimize model bias
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Fairness of exposure in rankings
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Reducing disparate exposure in ranking: A learning to rank approach
M. Zehlike and C. Castillo · 2018
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Fair regression: Quantitative definitions and reduction-based algorithms
A. Agarwal, M. Dudik, and Z. S. Wu · 2019
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Fairness in recommendation through pairwise experiments
A. Beutel, J. Chen, T. Doshi, H. Qian, L. Wei, Y. Wu, L. Heldt, Z. Zhao, L. Hong, E. H. Chi, and C. Goodrow · 2019
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Nuanced metrics for measuring unintended bias with real data for text classification
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Measuring and mitigating unintended bias in text classification
L. Dixon, J. Li, J. Sorensen, N. Thain, and L. Vasserman · 2018
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Empirical risk minimization under fairness constraints
M. Donini, L. Oneto, S. Ben-David, J. Shawe-Taylor, and M. Pontil · 2018
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Preventing fairness gerrymandering: Auditing and learning for subgroup fairness
M. Kearns, S. Neel, A. Roth, and S. Wu · 2018
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Nonconvex optimization for regression with fairness constraints
J. Komiyama, A. Takeda, J. Honda, and H. Shimao · 2018
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Learning with complex loss functions and constraints
H. Narasimhan · 2018
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Two-player games for efficient non-convex constrained optimization
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D. Borkan, L. Dixon, J. Sorensen, N. Thain, and L. Vasserman · 2019
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The fairness of risk scores beyond classification: Bipartite ranking and the xAUC metric
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FARE: Diagnostics for fair ranking using pairwise error metrics
C. Kuhlman, M. VanValkenburg, and E. Rundensteiner · 2019
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Fairness-aware learning for continuous attributes and treatments
J. Mary, C. Calauzènes, and N. E. Karoui · 2019
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Policy learning for fairness in ranking
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