Zhang, Shuzhong

6 publications

JMLR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang

AISTATS 2021 Generalization Bounds for Stochastic Saddle Point Problems Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang

COLT 2019 An Optimal High-Order Tensor Method for Convex Optimization Bo Jiang, Haoyue Wang, Shuzhong Zhang

COLT 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-Th Derivatives Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

AISTATS 2018 Online Learning with Non-Convex Losses and Non-Stationary Regret Xiand Gao, Xiaobo Li, Shuzhong Zhang

IJCAI 2015 Convergence of Common Proximal Methods for L1-Regularized Least Squares Shaozhe Tao, Daniel Boley, Shuzhong Zhang