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Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness., , , and . CoRR, (2023)Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification., , , , and . NeurIPS, page 12739-12750. (2019)Addressing bias in online selection with limited budget of comparisons., , , and . CoRR, (2023)A gradient estimator via L1-randomization for online zero-order optimization with two point feedback., , , and . NeurIPS, (2022)Classification with abstention but without disparities., and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1227-1236. AUAI Press, (2021)An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression., and . CoRR, (2020)On the benefits of output sparsity for multi-label classification., , , and . CoRR, (2017)Fair regression with Wasserstein barycenters., , , , and . NeurIPS, (2020)Fair regression via plug-in estimator and recalibration with statistical guarantees., , , , and . NeurIPS, (2020)Fair learning with Wasserstein barycenters for non-decomposable performance measures., , and . CoRR, (2022)