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Scalable Semi-Supervised SVM via Triply Stochastic Gradients.

, , , , , и . IJCAI, стр. 2364-2370. ijcai.org, (2019)

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Wanli Ouyang

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Huili Shi

 

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Fast and Adversarial Robust Kernelized SDU Learning., , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 1153-1161. PMLR, (2024)Scalable Semi-Supervised SVM via Triply Stochastic Gradients., , , , , и . IJCAI, стр. 2364-2370. ijcai.org, (2019)Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model., , , и . KDD, стр. 1141-1149. ACM, (2020)Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms., , , , , , и . Pattern Recognit., (2021)Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization., , , и . CoRR, (2019)Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization., и . AAAI, стр. 9621-9629. AAAI Press, (2021)Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients., , , , , , и . IEEE Trans. Neural Networks Learn. Syst., 32 (8): 3677-3689 (2021)End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks., , и . KDD, стр. 2140-2150. ACM, (2022)Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization., , , , и . IJCAI, стр. 3418-3424. ijcai.org, (2019)Self-Adaptive Perturbation Radii for Adversarial Training., , , и . KDD, стр. 2570-2581. ACM, (2023)