individual fairness

Individually Fair Learning with One-Sided Feedback ICML 2023 Learning Antidote Data to Individual Unfairness ICML 2023 Matrix Estimation for Individual Fairness ICML 2023 Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual AAAI 2023 Active approximately metric-fair learning UAI 2022 A New Notion of Individually Fair Clustering: α-Equitable k-Center AISTATS 2022 Assessing Multilingual Fairness in Pre-trained Multimodal Representations ACL 2022 Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions NeurIPS 2022 Domain Adaptation meets Individual Fairness. And they get along. NeurIPS 2022 Individual Fairness Guarantees for Neural Networks IJCAI 2022 Individual fairness in feature-based pricing for monopoly markets UAI 2022 Measuring Fairness of Text Classifiers via Prediction Sensitivity ACL 2022 Metric-Fair Classifier Derandomization ICML 2022 On the Fairness of Causal Algorithmic Recourse AAAI 2022 Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022 All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021 Better Algorithms for Individually Fair k-Clustering NeurIPS 2021 Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints AAAI 2021 Individual Fairness in Hindsight JMLR 2021 Individual Fairness in Kidney Exchange Programs AAAI 2021 Individually Fair Gradient Boosting ICLR 2021 Individually Fair Rankings ICLR 2021 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint AISTATS 2021 Post-processing for Individual Fairness NeurIPS 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021