fairness constraint

Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021 District-Fair Participatory Budgeting AAAI 2021 Fair Classification with Adversarial Perturbations NeurIPS 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021 Fair Mixup: Fairness via Interpolation ICLR 2021 Fairness constraint of Fuzzy C-means Clustering improves clustering fairness ACML 2021 Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis IJCAI 2021 Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints AISTATS 2021 Optimized Score Transformation for Consistent Fair Classification JMLR 2021 Protecting the Protected Group: Circumventing Harmful Fairness AAAI 2021 Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints NeurIPS 2021 Teaching the Old Dog New Tricks: Supervised Learning with Constraints AAAI 2021 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 A Pairwise Fair and Community-preserving Approach to k-Center Clustering ICML 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020 Deep Fair Clustering for Visual Learning CVPR 2020 Ensuring Fairness Beyond the Training Data NeurIPS 2020 Fair Contextual Multi-Armed Bandits: Theory and Experiments UAI 2020 Fair Correlation Clustering AISTATS 2020 Fair Decisions Despite Imperfect Predictions AISTATS 2020 Fair Multiple Decision Making Through Soft Interventions NeurIPS 2020 Fairness constraints can help exact inference in structured prediction NeurIPS 2020 Fairness for Robust Log Loss Classification AAAI 2020 Fairness in Streaming Submodular Maximization: Algorithms and Hardness NeurIPS 2020 FNNC: Achieving Fairness through Neural Networks IJCAI 2020