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An Investigation of Critical Issues in Bias Mitigation Techniques
14 references·1 citing·38 second hop
An Investigation of Critical Issues in Bias Mitigation Techniques (2022)An Investigation of Critical Issues in Bi…Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach (2021)Statistics of Robust Optimiza…Towards Debiasing NLU Models from Unknown Biases (2020)Towards Debiasing NLU Models …Learning from Failure: Training Debiased Classifier from Biased Classifier (2020)Learning from Failure: Traini…An Investigation of Why Overparameterization Exacerbates Spurious Correlations (2020)An Investigation of Why Overp…REPAIR: Removing Representation Bias by Dataset Resampling (2019)REPAIR: Removing Representati…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactRobust Solutions of Optimization Problems Affected by Uncertain Probabilities (2012)Robust Solutions of Optimizat…Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Distributionally Robust Optim…Clever Hans, the Horse of Mr. Von Osten; A Contribution to Experimental Animal and Human Psychology (1914)Clever Hans, the Horse of Mr.…Clever Hans (the horse of Mr. Von Osten) a contribution to experimental animal and human psychology, (1911)Clever Hans (the horse of Mr.…Cognitive Bias Mitigation in Executive Decision-Making: A Data-Driven Approach Integrating Big Data Analytics, AI, and Explainable Systems (2025)Cognitive Bias Mitigation in …Maxmin expected utility with non-unique prior (1989)Coherent Measures of Risk (1999)Robust Optimization (2009)A practical guide to robust optimization (2015)Data-driven robust optimization (2017)Distributionally Robust Stochastic Optimization with Wasserstein Distance (2022)Studies in Mathematical Theory of Inventory and Production (1959)Robust Convex Optimization (1998)Optimization of conditional value-at-risk (2000)Recent advances in robust optimization: An overview (2013)Distributionally Robust Convex Optimization (2014)Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Fairness through awareness (2012)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)A Survey on Bias and Fairness in Machine Learning (2021)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Semantics derived automatically from language corpora contain human-like biases (2017)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)A Review on Fairness in Machine Learning (2022)Bias and Fairness in Large Language Models: A Survey (2024)The Principles of Psychology (1891)The Body We Care for: Figures of Anthropo-zoo-genesis (2004)The Social and Technological Dimensions of Scaffolding and Related Theoretical Concepts for Learning, Education, and Human Activity (2004)Personality and physical activity: A systematic review and meta-analysis (2014)From Data to Decisions: Distributionally Robust Optimization Is Optimal (2020)Learning-Based Robust Optimization: Procedures and Statistical Guarantees (2020)Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality (2022)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)Climate Change, Environmental Disasters, and Health Inequities: The Underlying Role of Structural Inequalities (2022)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques (2024)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)
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References

  • 2014Big Data's Disparate Impact3,046 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2010Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems1,910 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2012Robust Solutions of Optimization Problems Affected by Uncertain Probabilities752 cited
  • 2019REPAIR: Removing Representation Bias by Dataset Resampling228 cited
  • 2021Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach195 cited
  • 1911Clever Hans (the horse of Mr. Von Osten) a contribution to experimental animal and human psychology,190 cited
  • 1914Clever Hans, the Horse of Mr. Von Osten; A Contribution to Experimental Animal and Human Psychology129 cited
  • 2020An Investigation of Why Overparameterization Exacerbates Spurious Correlations122 cited
  • 2020Towards Debiasing NLU Models from Unknown Biases99 cited
  • 2020Learning from Failure: Training Debiased Classifier from Biased Classifier58 cited

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Cited by

  • 2025Cognitive Bias Mitigation in Executive Decision-Making: A Data-Driven Approach Integrating Big Data Analytics, AI, and Explainable Systems17 cited