Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Training individually fair ML models with Sensitive Subspace Robustness

16 references·12 citing·36 second hop

FromToDepth

this work references cited by second hop

References

2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination4,498 cited
2012Fairness through awareness3,501 cited
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
2012Robust Solutions of Optimization Problems Affected by Uncertain Probabilities752 cited
2010Distributionally Robust Optimization and Its Tractable Approximations668 cited
2018The Measure and Mismeasure of Fairness445 cited
2018Learning Adversarially Fair and Transferable Representations387 cited
2007A Robust Optimization Perspective on Stochastic Programming362 cited
2019Quantifying Distributional Model Risk via Optimal Transport352 cited
2019Bias in Bios337 cited
2023Inherent Tradeoffs in the Fair Determination of Risk Scores

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

309 cited

2018Fairness Without Demographics in Repeated Loss Minimization239 cited

Cited by

2024Assessing trustworthy AI: Technical and legal perspectives of fairness in AI41 cited
2020Two Simple Ways to Learn Individual Fairness Metrics from Data33 cited
2021Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization29 cited
2021A Statistical Test for Probabilistic Fairness28 cited
2023Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects27 cited
2022Learning Fair Classifiers with Partially Annotated Group Labels26 cited
2020A Fair Classifier Using Mutual Information23 cited
2023Accurate Fairness: Improving Individual Fairness without Trading Accuracy22 cited
2022Optimising Equal Opportunity Fairness in Model Training19 cited
2022Improving fairness generalization through a sample-robust optimization method19 cited
2023CertiFair: A Framework for Certified Global Fairness of Neural Networks19 cited
2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited