group fairness

No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024 Online Combinatorial Optimization with Group Fairness Constraints IJCAI 2024 On the Effects of Fairness to Adversarial Vulnerability IJCAI 2024 Ordinal Maximin Guarantees for Group Fair Division IJCAI 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness NeurIPS 2024 Perceptual Fairness in Image Restoration NeurIPS 2024 Proportional Fairness in Non-Centroid Clustering NeurIPS 2024 RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting NeurIPS 2024 Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems AAAI 2024 Towards Fairer Centroids in K-means Clustering AAAI 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NeurIPS 2024 Using Early Readouts To Mediate Featural Bias in Distillation WACV 2024 Utility-Fairness Trade-Offs and How to Find Them CVPR 2024 Accurate Fairness: Improving Individual Fairness without Trading Accuracy AAAI 2023 Adapting Fairness Interventions to Missing Values NeurIPS 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 Are fairness metric scores enough to assess discrimination biases in machine learning? ACL 2023 A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning NeurIPS 2023 Bias Mimicking: A Simple Sampling Approach for Bias Mitigation CVPR 2023 Bias Propagation in Federated Learning ICLR 2023 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023 Doubly Constrained Fair Clustering NeurIPS 2023 Equal Improvability: A New Fairness Notion Considering the Long-term Impact ICLR 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023