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Linear Convergence of Adaptive Stochastic Gradient Descent.

, , и . CoRR, (2019)

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Jian Xie

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Zhenwei Xie

 

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AdaLoss: A computationally-efficient and provably convergent adaptive gradient method., , , и . CoRR, (2021)Weighted Optimization: better generalization by smoother interpolation., , , и . CoRR, (2020)Overparameterization and Generalization Error: Weighted Trigonometric Interpolation., , , и . SIAM J. Math. Data Sci., 4 (2): 885-908 (июня 2022)Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 8296-8316. PMLR, (2023)Linear Convergence of Adaptive Stochastic Gradient Descent., , и . CoRR, (2019)AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation., , и . CoRR, (2022)AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method., , , и . AAAI, стр. 8691-8699. AAAI Press, (2022)Linear Convergence of Adaptive Stochastic Gradient Descent., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1475-1485. PMLR, (2020)SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning., , , и . CoRR, (2021)SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning., , , и . MSML, том 190 из Proceedings of Machine Learning Research, стр. 303-318. PMLR, (2022)