| 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 | 28 | 2019 |
| 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 | 23 | 2021 |
| Generalized Polyak Step Size for First Order Optimization with Momentum X Wang, M Johansson, T Zhang International Conference on Machine Learning (ICML), 2023, 2023 | 16 | 2023 |
| 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 | 16 | 2023 |
| Stochastic trust region methods with trust region radius depending on probabilistic models X Wang, Y Yuan Journal of Computational Mathematics, 2022 | 12 | 2022 |
| 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 | 9 | 2023 |
| 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 | 7 | 2023 |
| Zeroth-order randomized subspace Newton methods E Berglund, S Khirirat, X Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| On Uniform Boundedness Properties of SGD and its Momentum Variants X Wang, M Johansson arXiv preprint arXiv:2201.10245, 2022 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 2 | 2024 |
| Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization X Wang, M Johansson https://arxiv.org/abs/2106.02888, 2021 | 2 | 2021 |
| ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting R Pan, J Zhang, X Pan, R Pi, X Wang, T Zhang arXiv preprint arXiv:2406.19976, 2024 | | 2024 |
Mikael JohanssonProfessor of Electrical Engineering, KTH在 kth.se 的电子邮件经过验证
