fairness constraint

Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback AAAI 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract) AAAI 2026 Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups AAAI 2026 Optimisation Problems in Constrained Machine Learning AAAI 2026 OxEnsemble: Fair Ensembles for Low-Data Classification MIDL 2026 Accelerating Spectral Clustering under Fairness Constraints ICML 2025 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025 Cost-Free Fairness in Online Correlation Clustering ALT 2025 Fair Incomplete Multi-View Clustering via Distribution Alignment IJCAI 2025 Fair Submodular Maximization over a Knapsack Constraint IJCAI 2025 Fair Summarization: Bridging Quality and Diversity in Extractive Summaries NAACL 2025 High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract) AAAI 2025 Improved Rank Aggregation Under Fairness Constraint IJCAI 2025 Optimal Fair Learning Robust to Adversarial Distribution Shift ICML 2025 Post-processing for Fair Regression via Explainable SVD AISTATS 2025 Proportionally Fair Matching via Randomized Rounding AAAI 2025 Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024 Empirical Likelihood for Fair Classification ICLR 2024 Fair Active Learning in Low-Data Regimes UAI 2024 Fair k-center Clustering with Outliers AISTATS 2024 Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024 f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization ICLR 2024 How Far Can Fairness Constraints Help Recover From Biased Data? ICML 2024 Imposing Fairness Constraints in Synthetic Data Generation AISTATS 2024