demographic parity

A Fair Classifier Using Kernel Density Estimation NeurIPS 2020 Conditional Learning of Fair Representations ICLR 2020 Consistent Plug-in Classifiers for Complex Objectives and Constraints NeurIPS 2020 Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NeurIPS 2020 Fair Data Adaptation with Quantile Preservation JMLR 2020 Fairness without Demographics through Adversarially Reweighted Learning NeurIPS 2020 Fair regression via plug-in estimator and recalibration with statistical guarantees NeurIPS 2020 Fair regression with Wasserstein barycenters NeurIPS 2020 FNNC: Achieving Fairness through Neural Networks IJCAI 2020 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020 Towards Threshold Invariant Fair Classification UAI 2020 Flexibly Fair Representation Learning by Disentanglement ICML 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019 One-Network Adversarial Fairness AAAI 2019 Recycling Privileged Learning and Distribution Matching for Fairness NeurIPS 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017