demographic parity

Active fairness auditing ICML 2022 A Reduction to Binary Approach for Debiasing Multiclass Datasets NeurIPS 2022 Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks NeurIPS 2022 Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022 Conformalized Fairness via Quantile Regression NeurIPS 2022 Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting NeurIPS 2022 Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models CVPR 2022 Fairness Transferability Subject to Bounded Distribution Shift NeurIPS 2022 Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022 Generalized Demographic Parity for Group Fairness ICLR 2022 Group-Aware Threshold Adaptation for Fair Classification AAAI 2022 Learning fair representation with a parametric integral probability metric ICML 2022 Optimal Transport of Classifiers to Fairness NeurIPS 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 Self-Supervised Fair Representation Learning without Demographics NeurIPS 2022 Understanding Instance-Level Impact of Fairness Constraints ICML 2022 Algorithms for Fairness in Sequential Decision Making AISTATS 2021 A Unified Approach to Fair Online Learning via Blackwell Approachability NeurIPS 2021 FairBatch: Batch Selection for Model Fairness ICLR 2021 Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021 Fair Sequential Selection Using Supervised Learning Models NeurIPS 2021 Group Fairness by Probabilistic Modeling with Latent Fair Decisions AAAI 2021 Learning Smooth and Fair Representations AISTATS 2021 Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021 The Effect of Round-Trip Translation on Fairness in Sentiment Analysis EMNLP 2021