Zijian Liu | DeepAI

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∙ 03/22/2023

Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises

Recently, several studies consider the stochastic optimization problem b...

0 Zijian Liu, et al. ∙

∙ 02/28/2023

High Probability Convergence of Stochastic Gradient Methods

In this work, we describe a generic approach to show convergence with hi...

0 Zijian Liu, et al. ∙

∙ 02/14/2023

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

We consider the stochastic optimization problem with smooth but not nece...

0 Zijian Liu, et al. ∙

∙ 02/13/2023

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

Traditional analyses for non-convex stochastic optimization problems cha...

0 Zijian Liu, et al. ∙

∙ 09/29/2022

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

We study the application of variance reduction (VR) techniques to genera...

0 Zijian Liu, et al. ∙

∙ 09/29/2022

On the Convergence of AdaGrad on ^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration

Existing analysis of AdaGrad and other adaptive methods for smooth conve...

0 Zijian Liu, et al. ∙

∙ 01/28/2022

Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction

In this paper, we study the finite-sum convex optimization problem focus...

0 Zijian Liu, et al. ∙

∙ 01/05/2020

Adaptive fractional order graph neural network

This paper proposes adaptive fractional order graph neural network (AFGN...

45 Zijian Liu, et al. ∙

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