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Distributionally Robust Graphical Models.

, , , , и . NeurIPS, стр. 8354-8365. (2018)

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Yan Rizal

Syamsul Rizal

Maimun Rizal

Akhmad Rizali

Rizal Sofyan Gueci

 

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