algorithmic fairness

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection ACL 2020 Pairwise Fairness for Ranking and Regression AAAI 2020 Subsidy Allocations in the Presence of Income Shocks AAAI 2020 Training individually fair ML models with sensitive subspace robustness ICLR 2020 Two Simple Ways to Learn Individual Fairness Metrics from Data ICML 2020 Verifying Individual Fairness in Machine Learning Models UAI 2020 A Compliance Checking Framework for DNN Models IJCAI 2019 AI at the Margins: Data, Decisions, and Inclusive Social Impact IJCAI 2019 Average Individual Fairness: Algorithms, Generalization and Experiments NeurIPS 2019 Delayed Impact of Fair Machine Learning IJCAI 2019 Discovering Fair Representations in the Data Domain CVPR 2019 Eliminating Latent Discrimination: Train Then Mask AAAI 2019 Envy-Free Classification NeurIPS 2019 Exploring Algorithmic Fairness in Robust Graph Covering Problems NeurIPS 2019 Fair and Explainable Dynamic Engagement of Crowd Workers IJCAI 2019 Fairness-Aware Learning for Continuous Attributes and Treatments ICML 2019 Fairness Constraints: A Flexible Approach for Fair Classification JMLR 2019 Fairness risk measures ICML 2019 Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NeurIPS 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019 Learning Optimal Fair Policies ICML 2019 Making Decisions that Reduce Discriminatory Impacts ICML 2019 mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers IJCAI 2019 Near Neighbor: Who is the Fairest of Them All? NeurIPS 2019 Offline Contextual Bandits with High Probability Fairness Guarantees NeurIPS 2019