{"total":14,"rows":[{"id":"2102.04257","title":"Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities","created":"2021-02-03","cited_by_count":40,"area":null},{"id":"2205.13619","title":"Fairness in Recommendation: Foundations, Methods and Applications","created":"2022-05-26","cited_by_count":27,"area":null},{"id":"2109.04999","title":"Fairness without the sensitive attribute via Causal Variational Autoencoder","created":"2021-09-10","cited_by_count":21,"area":null},{"id":"2205.04790","title":"Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making","created":"2022-05-10","cited_by_count":13,"area":null},{"id":"2307.08232","title":"Learning for Counterfactual Fairness from Observational Data","created":"2023-07-17","cited_by_count":13,"area":null},{"id":"2207.04895","title":"Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility","created":"2022-07-11","cited_by_count":12,"area":null},{"id":"2311.05420","title":"Counterfactually Fair Representation","created":"2023-11-09","cited_by_count":9,"area":null},{"id":"2409.01977","title":"Counterfactual Fairness by Combining Factual and Counterfactual Predictions","created":"2024-09-03","cited_by_count":8,"area":null},{"id":"2308.08938","title":"Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces","created":"2023-08-17","cited_by_count":4,"area":null},{"id":"2310.17687","title":"Consistent End-to-End Estimation for Counterfactual Fairness","created":"2023-10-26","cited_by_count":4,"area":null},{"id":"2202.03792","title":"Counterfactual Multi-Token Fairness in Text Classification","created":"2022-02-08","cited_by_count":3,"area":null},{"id":"2403.17852","title":"Counterfactual Fairness through Transforming Data Orthogonal to Bias","created":"2024-03-26","cited_by_count":2,"area":null},{"id":"2502.12796","title":"Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2505.11111","title":"FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation","created":"2025-05-16","cited_by_count":0,"area":null}],"next_cursor":null}