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ORCIDYuqing Wang 0005
Person information
- affiliation: University of California Berkeley (UCB), Simons Institute, CA, USA
- affiliation (PhD 2024): Georgia Institute of Technology, School of Mathematics, Atlanta, GA, USA
Other persons with the same name
- Yuqing Wang — disambiguation page
- Yuqing Wang 0001
![[0000-0002-9789-4295]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9789-4295")
— Tsinghua University, Beijing, China - Yuqing Wang 0002 — University of Helsinki, Finland
- Yuqing Wang 0003 — Keio University, Tokyo, Japan
- Yuqing Wang 0004 — University of California, Santa Barbara (UCSB), Computer Science Department, CA, USA (and 1 more)
- Yuqing Wang 0006 — Peking University, School of Electronic and Computer Engineering, Wangxuan Institute of Computer Technology, China
- Yuqing Wang 0007 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
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2020 – today
- 2025
[j2]Yuqing Wang, Zhenghao Xu, Tuo Zhao, Molei Tao:
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult. J. Mach. Learn. Res. 26: 273:1-273:68 (2025)- 2024
- [b1]Yuqing Wang:
Quantitative convergence analysis of dynamical processes in machine learning. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [c5]Yuqing Wang, Ye He, Molei Tao:
Evaluating the design space of diffusion-based generative models. NeurIPS 2024 - [c4]Zhenghao Xu, Yuqing Wang, Tuo Zhao, Rachel Ward, Molei Tao:
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks. NeurIPS 2024 - [i6]Yuqing Wang, Ye He, Molei Tao:
Evaluating the design space of diffusion-based generative models. CoRR abs/2406.12839 (2024) - [i5]Zhenghao Xu, Yuqing Wang, Tuo Zhao, Rachel Ward, Molei Tao:
Provable Acceleration of Nesterov's Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networks. CoRR abs/2410.09640 (2024) - 2023
- [j1]Bo Yuan, Jiaojiao Fan, Yuqing Wang, Molei Tao, Yongxin Chen:
Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective. IEEE Control. Syst. Lett. 7: 2173-2178 (2023) - [c3]Lingkai Kong, Yuqing Wang, Molei Tao:
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. ICLR 2023 - [i4]Yuqing Wang, Zhenghao Xu, Tuo Zhao, Molei Tao:
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult. CoRR abs/2310.17087 (2023) - 2022
- [c2]Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao:
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect. ICLR 2022 - [i3]Lingkai Kong, Yuqing Wang, Molei Tao:
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. CoRR abs/2205.14173 (2022) - 2021
- [i2]Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao:
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect. CoRR abs/2110.03677 (2021) - 2020
- [c1]Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao:
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. NeurIPS 2020 - [i1]Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao:
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. CoRR abs/2002.06262 (2020)
Coauthor Index
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