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Xiaoyu Wang (王小玉)
Xiaoyu Wang (王小玉)
Research Assistant Professor at HKUST
Verified email at ust.hk - Homepage
Title
Cited by
Cited by
Year
Stochastic proximal quasi-Newton methods for non-convex composite optimization
X Wang, X Wang, Y Yuan
Optimization Methods and Software 34 (5), 922-948, 2019
282019
On the convergence of step decay step-size for stochastic optimization
X Wang, S Magnússon, M Johansson
Advances in Neural Information Processing Systems 34, 14226-14238, 2021
192021
Stochastic trust region methods with trust region radius depending on probabilistic models
X Wang, Y Yuan
Journal of Computational Mathematics, 2022
102022
Dynafed: Tackling client data heterogeneity with global dynamics
R Pi, W Zhang, Y Xie, J Gao, X Wang, S Kim, Q Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
On the convergence of stochastic gradient descent with bandwidth-based step size
X Wang, Y Yuan
Journal of Machine Learning Research 24 (48), 1--49, 2023
82023
Generalized Polyak Step Size for First Order Optimization with Momentum
X Wang, M Johansson, T Zhang
International Conference on Machine Learning (ICML), 2023, 2023
72023
Improved Step-Size Schedules for Proximal Noisy Gradient Methods
S Khirirat, X Wang, S Magnússon, M Johansson
IEEE Transactions on Signal Processing 71, 189-201, 2023
42023
On Uniform Boundedness Properties of SGD and its Momentum Variants
X Wang, M Johansson
arXiv preprint arXiv:2201.10245, 2022
32022
Improved Step-Size Schedules for Noisy Gradient Methods
S Khirirat, X Wang, S Magnússon, M Johansson
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
32021
Zeroth-order randomized subspace Newton methods
E Berglund, S Khirirat, X Wang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
22022
Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization
X Wang, M Johansson
arXiv preprint arXiv:2106.02888, 2021
12021
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
R Pan, Y Liu, X Wang, T Zhang
The 24 International Conference on Learning Representations (ICLR), 2024
2024
Effective Bilevel Optimization via Minimax Reformulation
X Wang, R Pan, R Pi, T Zhang
arXiv preprint arXiv:2305.13153, 2023
2023
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