equalized odd

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing JMLR 2026 Hyperbolic Relational Prompts for Intersectional Fairness in Medical VLMs CVPR 2026 Disparate Conditional Prediction in Multiclass Classifiers ICML 2025 FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation ICML 2025 On the Fairness ROAD: Robust Optimization for Adversarial Debiasing ICLR 2024 Post-hoc bias scoring is optimal for fair classification ICLR 2024 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023 Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors NeurIPS 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data ICLR 2023 Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023 Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics ICLR 2023 Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023 Stochastic Differentially Private and Fair Learning ICLR 2023 Superhuman Fairness ICML 2023 The Measure and Mismeasure of Fairness JMLR 2023 Towards Fairness-aware Adversarial Network Pruning ICCV 2023 Attainability and Optimality: The Equalized Odds Fairness Revisited CLeaR 2022 Conditional Supervised Contrastive Learning for Fair Text Classification EMNLP 2022 EqGNN: Equalized Node Opportunity in Graphs AAAI 2022 Fairness Transferability Subject to Bounded Distribution Shift NeurIPS 2022 Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 Conditionally independent data generation UAI 2021