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Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises


Mar 25, 2023
Zijian Liu, Zhengyuan Zhou

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High Probability Convergence of Stochastic Gradient Methods


Feb 28, 2023
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Lê Nguyen

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* This paper subsumes arXiv paper arxiv:2210.00679 

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Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise


Feb 14, 2023
Zijian Liu, Jiawei Zhang, Zhengyuan Zhou

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Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction


Feb 13, 2023
Zijian Liu, Perry Dong, Srikanth Jagabathula, Zhengyuan Zhou

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META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions


Sep 29, 2022
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen

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On the Convergence of AdaGrad on $\R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration


Sep 29, 2022
Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

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Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction


Jan 28, 2022
Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

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Adaptive fractional order graph neural network


Jan 05, 2020
Zijian Liu, Chunbo Luo, Shuai Li

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