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Unfairness Discovery and Prevention For Few-Shot Regression
16 references·2 citing·32 second hop
Unfairness Discovery and Prevention For Few-Shot Regression (2020)Unfairness Discovery and Prevention For F…Taking Advantage of Multitask Learning for Fair Classification (2019)Taking Advantage of Multitask…Rank-Based Multi-task Learning for Fair Regression (2019)Rank-Based Multi-task Learnin…Nonconvex Optimization for Regression with Fairness Constraints. (2018)Nonconvex Optimization for Re…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…A Reductions Approach to Fair Classification (2018)A Reductions Approach to Fair…A Convex Framework for Fair Regression (2017)A Convex Framework for Fair R…On Discrimination Discovery Using Causal Networks (2016)On Discrimination Discovery U…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Prediction with Model-Based Neutrality (2015)Prediction with Model-Based N…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…A survey on measuring indirect discrimination in machine learning (2015)A survey on measuring indirec…Learning Fair Representations (2013)Learning Fair RepresentationsControlling Attribute Effect in Linear Regression (2013)Controlling Attribute Effect …Measuring Discrimination in Socially-Sensitive Decision Records (2009)Measuring Discrimination in S…Adverse Impact and Test Validation: A Practitioner's Guide to Valid and Defensible Employment Testing (2005)Adverse Impact and Test Valid…Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness (2024)Dynamic Environment Responsiv…Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey (2023)Preserving the Fairness Guara…Group Rights and Discrimination in International Law (1990)Discrimination-aware data mining (2008)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Certifying and Removing Disparate Impact (2015)THE THEORY OF DISCRIMINATION (2015)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Ethical Machine Learning in Healthcare (2021)Sources of Variation and Bias in Studies of Diagnostic Accuracy (2004)Data preprocessing techniques for classification without discrimination (2011)Discrimination in online ad delivery (2013)Trustworthy AI: From Principles to Practices (2022)Fairness in Machine Learning: A Survey (2023)Three naive Bayes approaches for discrimination-free classification (2010)Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Measuring individual differences in implicit cognition: The implicit association test. (1998)Big Data's Disparate Impact (2014)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)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)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Equity of Attention (2018)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Fairness Beyond Disparate Treatment & Disparate Impact (2017)
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References

  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,853 cited
  • 2013Learning Fair Representations1,155 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
  • 2018Fairness of Exposure in Rankings611 cited
  • 2018A Reductions Approach to Fair Classification423 cited
  • 2017A Convex Framework for Fair Regression198 cited
  • 2009Measuring Discrimination in Socially-Sensitive Decision Records175 cited
  • 2013Controlling Attribute Effect in Linear Regression124 cited
  • 2015A survey on measuring indirect discrimination in machine learning107 cited
  • 2005Adverse Impact and Test Validation: A Practitioner's Guide to Valid and Defensible Employment Testing98 cited
  • 2019Taking Advantage of Multitask Learning for Fair Classification64 cited
  • 2018Nonconvex Optimization for Regression with Fairness Constraints.60 cited
  • 2019Rank-Based Multi-task Learning for Fair Regression25 cited
  • 2016On Discrimination Discovery Using Causal Networks24 cited
  • 2015

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Prediction with Model-Based Neutrality
14 cited

Cited by

  • 2023Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey10 cited
  • 2024Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness10 cited