group fairness

Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 FairFed: Enabling Group Fairness in Federated Learning AAAI 2023 Fair Graph Distillation NeurIPS 2023 Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NeurIPS 2023 Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results AAAI 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Fair Without Leveling Down: A New Intersectional Fairness Definition EMNLP 2023 Group Fairness in Peer Review NeurIPS 2023 Group Fairness in Set Packing Problems IJCAI 2023 Improving Fair Training under Correlation Shifts ICML 2023 Individual Arbitrariness and Group Fairness NeurIPS 2023 Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023 LUCID: Exposing Algorithmic Bias through Inverse Design AAAI 2023 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023 Omnipredictors for Constrained Optimization ICML 2023 Performance and Risk Trade-offs for Multi-word Text Prediction at Scale EACL 2023 Popularizing Fairness: Group Fairness and Individual Welfare AAAI 2023 Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual AAAI 2023 Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 Sampling Ex-Post Group-Fair Rankings IJCAI 2023 Scalable Spectral Clustering with Group Fairness Constraints AISTATS 2023 When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023 When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations MLHC 2023