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Efficient and Consistent Adversarial Bipartite Matching.

, , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1456-1465. PMLR, (2018)

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Fair Logistic Regression: An Adversarial Perspective., , , and . CoRR, (2019)AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4130-4140. PMLR, (2020)Distributionally Robust Graphical Models., , , , and . NeurIPS, page 8354-8365. (2018)Multiplicative Filter Networks., , , and . ICLR, OpenReview.net, (2021)PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks., , , , , , , and . ICKG, page 6-13. IEEE, (2022)Efficient and Consistent Adversarial Bipartite Matching., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1456-1465. PMLR, (2018)Fairness for Robust Learning to Rank., , , and . PAKDD (1), volume 13935 of Lecture Notes in Computer Science, page 544-556. Springer, (2023)Adversarial Multiclass Classification: A Risk Minimization Perspective., , , and . NIPS, page 559-567. (2016)AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning., and . CoRR, (2019)Fairness for Robust Log Loss Classification., , , and . AAAI, page 5511-5518. AAAI Press, (2020)