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Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale., , , , , and . CoRR, (2022)Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access., , , , and . CoRR, (2023)FairWASP: Fast and Optimal Fair Wasserstein Pre-processing., , , , , and . AAAI, page 16120-16128. AAAI Press, (2024)Counterfactual risk assessments, evaluation, and fairness., , , and . FAT*, page 582-593. ACM, (2020)Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds., , and . FAccT, page 386-400. ACM, (2021)FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes., and . FAccT, page 1053. ACM, (2022)Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis., , , , and . HCI (27), volume 528 of Communications in Computer and Information Science, page 639-644. Springer, (2015)Flexible Group Fairness Metrics for Survival Analysis., , , , , and . CoRR, (2022)FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes., and . CoRR, (2021)Filtering Tweets for Social Unrest., , , and . ICSC, page 17-23. IEEE Computer Society, (2017)