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Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
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Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems (2021)Practical Compositional Fairness: Underst…Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification (2019)Nuanced Metrics for Measuring…Multiaccuracy (2019)MultiaccuracyFairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Fairness-Aware Ranking in Sea…Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Equity of Attention (2018)Equity of AttentionA Reductions Approach to Fair Classification (2018)A Reductions Approach to Fair…Ranking with Fairness Constraints (2017)Ranking with Fairness Constra…On Fairness and Calibration (2017)On Fairness and CalibrationFA*IR (2017)FA*IRData Decisions and Theoretical Implications when Adversarially Learning Fair Representations (2017)Data Decisions and Theoretica…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Learning diverse rankings with multi-armed bandits (2008)Learning diverse rankings wit…Finite-time Analysis of the Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed Bandit Problem (2002)Introduction to Multi-Armed Bandits (2019)Bandit Algorithms (2020)Discrimination-aware data mining (2008)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Model Cards for Model Reporting (2019)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)Mitigating bias in algorithmic hiring (2020)Fairness in Machine Learning: A Survey (2023)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Review on Fairness in Machine Learning (2022)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness and Abstraction in Sociotechnical Systems (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Semantics derived automatically from language corpora contain human-like biases (2017)Socially Responsible AI Algorithms: Issues, Purposes, and Challenges (2021)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness definitions explained (2018)
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References

  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,428 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
  • 2018Fairness of Exposure in Rankings611 cited
  • 2017On Fairness and Calibration573 cited
  • 2008Learning diverse rankings with multi-armed bandits504 cited
  • 2017FA*IR497 cited
  • 2018Learning Adversarially Fair and Transferable Representations431 cited
  • 2018A Reductions Approach to Fair Classification423 cited
  • 2019Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search394 cited
  • 2018Equity of Attention386 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons374 cited
  • 2017Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations353 cited
  • 2019Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification317 cited
  • 2017Ranking with Fairness Constraints236 cited
  • 2019Multiaccuracy

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