Sledovat
Zhishuai Guo
Zhishuai Guo
Ph.D. Student, Texas A&M University
E-mailová adresa ověřena na: tamu.edu - Domovská stránka
Název
Citace
Citace
Rok
A novel convergence analysis for algorithms of the adam family and beyond
Z Guo, Y Xu, W Yin, R Jin, T Yang
arXiv preprint arXiv:2104.14840, 2021
102*2021
Randomized stochastic variance-reduced methods for multi-task stochastic bilevel optimization
Z Guo, Q Hu, L Zhang, T Yang
arXiv preprint arXiv:2105.02266, 2021
602021
An online method for a class of distributionally robust optimization with non-convex objectives
Q Qi*, Z Guo*, Y Xu, R Jin, T Yang
Advances in Neural Information Processing Systems 34, 2021
46*2021
Communication-efficient distributed stochastic auc maximization with deep neural networks
Z Guo, M Liu, Z Yuan, L Shen, W Liu, T Yang
International conference on machine learning, 3864-3874, 2020
432020
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
Z Yuan*, Z Guo*, Y Xu, Y Ying, T Yang
International Conference on Machine Learning, 2021
332021
Fast objective and duality gap convergence for non-convex strongly-concave min-max problems
Z Guo, Y Yan, Z Yuan, T Yang
arXiv preprint arXiv:2006.06889, 2020
312020
Compositional training for end-to-end deep AUC maximization
Z Yuan, Z Guo, N Chawla, T Yang
International Conference on Learning Representations, 2021
262021
A new local density for density peak clustering
Z Guo, T Huang, Z Cai, W Zhu
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
262018
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives
Z Guo, Y Yan, T Yang
arXiv preprint arXiv:2003.04339, 2020
52020
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Q Hu, ZH Qiu, Z Guo, L Zhang, T Yang
International Conference on Machine Learning, 2023, 2023
42023
Fast objective & duality gap convergence for non-convex strongly-concave min-max problems with pl condition
Z Guo, Y Yan, Z Yuan, T Yang
Journal of Machine Learning Research 24 (148), 1-63, 2023
32023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
Z Guo, R Jin, J Luo, T Yang
International Conference on Machine Learning, 2023, 2023
32023
Accelerating Deep Learning with Millions of Classes
Z Yuan, Z Guo, X Yu, X Wang, T Yang
In European Conference on Computer Vision (ECCV), 2020
32020
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Články 1–13