fairness constraint

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 On the Vulnerability of Fairness Constrained Learning to Malicious Noise AISTATS 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness NeurIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering NeurIPS 2024 Positivity-free Policy Learning with Observational Data AISTATS 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives ICLR 2024 Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 Censored Fairness through Awareness AAAI 2023 Class Fairness in Online Matching AAAI 2023 Core-sets for Fair and Diverse Data Summarization NeurIPS 2023 Doubly Fair Dynamic Pricing AISTATS 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Fair Short Paths in Vertex-Colored Graphs AAAI 2023 Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples AAAI 2023 Fast Feature Selection with Fairness Constraints AISTATS 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023 Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023 Improving Fairness in Information Exposure by Adding Links AAAI 2023 Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023 Long-Term Fairness with Unknown Dynamics NeurIPS 2023 Loss Balancing for Fair Supervised Learning ICML 2023 Mean Parity Fair Regression in RKHS AISTATS 2023 On the Cost of Demographic Parity in Influence Maximization AAAI 2023 Optimal and Fair Encouragement Policy Evaluation and Learning NeurIPS 2023