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Minimax Group Fairness: Algorithms and Experiments
12 references·10 citing·44 second hop
Minimax Group Fairness: Algorithms and Experiments (2021)Minimax Group Fairness: Algorithms and Ex…Using data mining techniques for bike sharing demand prediction in metropolitan city (2020)Using data mining techniques …A rule-based model for Seoul Bike sharing demand prediction using weather data (2020)A rule-based model for Seoul …Fair Regression: Quantitative Definitions and Reduction-based Algorithms (2019)Fair Regression: Quantitative…An Empirical Study of Rich Subgroup Fairness for Machine Learning (2019)An Empirical Study of Rich Su…The Price of Fair PCA: One Extra Dimension (2018)The Price of Fair PCA: One Ex…A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (2018)A case study of algorithm-ass…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…A data-driven software tool for enabling cooperative information sharing among police departments (2002)A data-driven software tool f…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Game theory, on-line prediction and boosting (1996)Game theory, on-line predicti…Rethinking Fair Graph Neural Networks from Re-balancing (2024)Rethinking Fair Graph Neural …Assessing trustworthy AI: Technical and legal perspectives of fairness in AI (2024)Assessing trustworthy AI: Tec…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Fairness and explainability in automatic decision-making systems. A challenge for computer science and law (2023)Fairness and explainability i…Algorithmic Fairness (2023)Algorithmic FairnessNet benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare (2022)Net benefit, calibration, thr…Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers (2022)Leveling Down in Computer Vis…Fair Risk Algorithms (2022)Fair Risk AlgorithmsAn Algorithmic Framework for Bias Bounties (2022)An Algorithmic Framework for …Towards Unbiased and Accurate Deferral to Multiple Experts (2021)Towards Unbiased and Accurate…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Theory of games and economic behavior (2019)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)How to make a decision: The analytic hierarchy process (1990)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019)Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (2023)An analog of the minimax theorem for vector payoffs (1956)Regret in the On-Line Decision Problem (1999)Competitive On‐line Statistics (2001)Online Learning: Theory, Algorithms, and Applications (2007)A framework for marketing management (2000)Decision Support and Business Intelligence Systems (2006)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)A Review on Fairness in Machine Learning (2022)The effects of data quality on machine learning performance on tabular data (2025)Fairness through awareness (2012)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Learning Adversarially Fair and Transferable Representations (2018)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Introduction to Multi-Armed Bandits (2019)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Software fairness (2018)Fairwalk: Towards Fair Graph Embedding (2019)Fairness, Equality, and Power in Algorithmic Decision-Making (2021)Why Canadians cycle more than Americans: A comparative analysis of bicycling trends and policies (2006)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)psych: Procedures for Personality and Psychological Research (2017)Algorithmic fairness datasets: the story so far (2022)Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning (2022)Improving short-term bike sharing demand forecast through an irregular convolutional neural network (2022)Bikesharing in Europe, the Americas, and Asia (2010)Bikeshare: A Review of Recent Literature (2015)Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis (2021)External Environmental Analysis for Sustainable Bike-Sharing System Development (2022)The Nonstochastic Multiarmed Bandit Problem (2002)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Aequitas: A Bias and Fairness Audit Toolkit (2018)Value-Sensitive Algorithm Design (2018)Toward Algorithmic Accountability in Public Services (2019)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2006Prediction, Learning, and Games3,176 cited
  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
  • 1996Game theory, on-line prediction and boosting383 cited
  • 2018A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions230 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning197 cited
  • 2002A data-driven software tool for enabling cooperative information sharing among police departments194 cited
  • 2020Using data mining techniques for bike sharing demand prediction in metropolitan city164 cited
  • 2020A rule-based model for Seoul Bike sharing demand prediction using weather data118 cited
  • 2019Fair Regression: Quantitative Definitions and Reduction-based Algorithms112 cited
  • 2018The Price of Fair PCA: One Extra Dimension84 cited

Cited by

  • 2021Towards Unbiased and Accurate Deferral to Multiple Experts45 cited
  • 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers44 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2024Assessing trustworthy AI: Technical and legal perspectives of fairness in AI41 cited
  • 2022Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare30 cited
  • 2023Algorithmic Fairness28 cited
  • 2023Fairness and explainability in automatic decision-making systems. A challenge for computer science and law25 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited
  • 2024Rethinking Fair Graph Neural Networks from Re-balancing17 cited
  • 2022An Algorithmic Framework for Bias Bounties17 cited
  • 2022Fair Risk Algorithms16 cited