algorithmic fairness

Fair Wrapping for Black-box Predictions NeurIPS 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022 How unfair is private learning? UAI 2022 Individual Preference Stability for Clustering ICML 2022 Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022 Learning fair representation with a parametric integral probability metric ICML 2022 Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022 Local Justice and the Algorithmic Allocation of Scarce Societal Resources AAAI 2022 Longitudinal Fairness with Censorship AAAI 2022 Low-Degree Multicalibration COLT 2022 Mind the data gap(s): Investigating power in speech and language datasets ACL 2022 On Testing for Discrimination Using Causal Models AAAI 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs NeurIPS 2022 Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS 2022 Post-processing of Differentially Private Data: A Fairness Perspective IJCAI 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 Robustness Disparities in Face Detection NeurIPS 2022 Scalable Infomin Learning NeurIPS 2022 Selection, Ignorability and Challenges With Causal Fairness CLeaR 2022 Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022 Towards Return Parity in Markov Decision Processes AISTATS 2022 Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NeurIPS 2022 Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness AAAI 2022 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Algorithms for Fairness in Sequential Decision Making AISTATS 2021