Jing Xu

most citedFaster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization

2 citations · 2 across the 3 of their papers we have counts for

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math.OC2023★ 2 cited

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization

Lesi Chen, Jing Xu, Luo Luo

We consider the optimization problem of the form $min_{x \in R^{d}} f (x) ≜ E_{ξ} [F (x; ξ)]$ , where the component $F (x; ξ)$ is $L$ -mean-squared Lipschitz but…

math.OC2023

On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis

Lesi Chen, Jing Xu, Jingzhao Zhang

Bilevel optimization reveals the inner structure of otherwise oblique optimization problems, such as hyperparameter tuning, neural architecture search, and meta-learning. A common…