equal opportunity

Equal Opportunity: A Correctness Condition for Ordered Consensus OSDI 2026 Optimal Fair Learning Robust to Adversarial Distribution Shift ICML 2025 The Disparate Benefits of Deep Ensembles ICML 2025 How Far Can Fairness Constraints Help Recover From Biased Data? ICML 2024 Learning Fair Policies for Multi-Stage Selection Problems from Observational Data AAAI 2024 On the Vulnerability of Fairness Constrained Learning to Malicious Noise AISTATS 2024 Achieving Fairness at No Utility Cost via Data Reweighing with Influence ICML 2022 Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022 Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting NeurIPS 2022 Optimising Equal Opportunity Fairness in Model Training NAACL 2022 FairBatch: Batch Selection for Model Fairness ICLR 2021 Fair Sequential Selection Using Supervised Learning Models NeurIPS 2021 Improving Fairness and Privacy in Selection Problems AAAI 2021 Label-Imbalanced and Group-Sensitive Classification under Overparameterization NeurIPS 2021 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020 Pairwise Fairness for Ranking and Regression AAAI 2020 Equal Opportunity in Online Classification with Partial Feedback NeurIPS 2019 Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification NeurIPS 2019