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Fair Bayesian Optimization
16 references·10 citing·27 second hop
Fair Bayesian Optimization (2021)Fair Bayesian OptimizationMitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness definitions explained (2018)Fairness definitions explainedSemantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…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…Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Scalable Bayesian Optimization Using Deep Neural Networks (2015)Scalable Bayesian Optimizatio…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsInformation-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)A Tutorial on Bayesian Optimi…On the relation of causality- versus correlation-based feature selection on model fairness (2024)On the relation of causality-…Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML (2024)Can Fairness be Automated? Gu…A systematic review of fairness in machine learning (2024)A systematic review of fairne…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service” (2023)Out of Context: Investigating…Algorithmic Fairness (2023)Algorithmic FairnessLeveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers (2022)Leveling Down in Computer Vis…Promoting Fairness through Hyperparameter Optimization (2021)Promoting Fairness through Hy…Fairness Measures for Machine Learning in Finance (2021)Fairness Measures for Machine…Automated feature engineering for algorithmic fairness (2021)Automated feature engineering…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)A Survey on Bias and Fairness in Machine Learning (2021)Design and Analysis of Computer Experiments (1989)Advances in prospect theory: Cumulative representation of uncertainty (1992)The Adaptive Decision Maker (1994)A Tutorial on Bayesian Optimization (2018)Bayesian Optimization (2018)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Big Data's Disparate Impact (2014)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Measuring individual differences in implicit cognition: The implicit association test. (1998)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Bandit Algorithms (2020)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)
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References

  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2012Fairness through awareness3,501 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2013Learning Fair Representations1,126 cited
  • 2018Fairness definitions explained1,125 cited
  • 2015Scalable Bayesian Optimization Using Deep Neural Networks703 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer

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694 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • Cited by

    • 2024A systematic review of fairness in machine learning46 cited
    • 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers44 cited
    • 2021Automated feature engineering for algorithmic fairness40 cited
    • 2021Fairness Measures for Machine Learning in Finance31 cited
    • 2023Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”30 cited
    • 2023Algorithmic Fairness28 cited
    • 2021Promoting Fairness through Hyperparameter Optimization28 cited
    • 2024Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML24 cited
    • 2024On the relation of causality- versus correlation-based feature selection on model fairness22 cited
    • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited