demographic parity

On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms UAI 2024 On the Vulnerability of Fairness Constrained Learning to Malicious Noise AISTATS 2024 Post-hoc bias scoring is optimal for fair classification ICLR 2024 Regression under demographic parity constraints via unlabeled post-processing NeurIPS 2024 Studying and Mitigating Biases in Sign Language Understanding Models EMNLP 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NeurIPS 2024 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach NeurIPS 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023 Counterfactual Fairness Is Basically Demographic Parity AAAI 2023 Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness AAAI 2023 Demographic Parity Constrained Minimax Optimal Regression under Linear Model NeurIPS 2023 Fair and Optimal Classification via Post-Processing ICML 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023 Fair Survival Time Prediction via Mutual Information Minimization MLHC 2023 Intersectionality and Testimonial Injustice in Medical Records ACL 2023 Mitigating Source Bias for Fairer Weak Supervision NeurIPS 2023 On the Cost of Demographic Parity in Influence Maximization AAAI 2023 Popularizing Fairness: Group Fairness and Individual Welfare AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023 Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023 Stochastic Differentially Private and Fair Learning ICLR 2023 Superhuman Fairness ICML 2023 The Measure and Mismeasure of Fairness JMLR 2023