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Minshuo Chen
Minshuo Chen
在 princeton.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Q Zhang, M Chen, A Bukharin, P He, Y Cheng, W Chen, T Zhao
International Conference on Learning Representations, 2023
201*2023
Efficient approximation of deep relu networks for functions on low dimensional manifolds
M Chen, H Jiang, W Liao, T Zhao
Advances in neural information processing systems 32, 2019
1142019
Differentiable top-k with optimal transport
Y Xie, H Dai, M Chen, B Dai, T Zhao, H Zha, W Wei, T Pfister
Advances in Neural Information Processing Systems 33, 20520-20531, 2020
1062020
Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery
M Chen, H Jiang, W Liao, T Zhao
Information and Inference: A Journal of the IMA 11 (4), 1203-1253, 2022
962022
Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data
M Chen, K Huang, T Zhao, M Wang
International Conference on Machine Learning, 4672-4712, 2023
832023
How important is the train-validation split in meta-learning?
Y Bai, M Chen, P Zhou, T Zhao, J Lee, S Kakade, H Wang, C Xiong
International Conference on Machine Learning, 543-553, 2021
762021
On generalization bounds of a family of recurrent neural networks
M Chen, X Li, T Zhao
arXiv preprint arXiv:1910.12947, 2019
652019
Towards understanding the importance of shortcut connections in residual networks
T Liu, M Chen, M Zhou, SS Du, E Zhou, T Zhao
Advances in neural information processing systems 32, 2019
602019
Distribution approximation and statistical estimation guarantees of generative adversarial networks
M Chen, W Liao, H Zha, T Zhao
arXiv preprint arXiv:2002.03938, 2020
49*2020
Super tickets in pre-trained language models: From model compression to improving generalization
C Liang, S Zuo, M Chen, H Jiang, X Liu, P He, T Zhao, W Chen
arXiv preprint arXiv:2105.12002, 2021
482021
Towards understanding hierarchical learning: Benefits of neural representations
M Chen, Y Bai, JD Lee, T Zhao, H Wang, C Xiong, R Socher
Advances in Neural Information Processing Systems 33, 22134-22145, 2020
482020
On computation and generalization of generative adversarial imitation learning
M Chen, Y Wang, T Liu, Z Yang, X Li, Z Wang, T Zhao
arXiv preprint arXiv:2001.02792, 2020
442020
Large learning rate tames homogeneity: Convergence and balancing effect
Y Wang, M Chen, T Zhao, M Tao
arXiv preprint arXiv:2110.03677, 2021
382021
Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks
H Liu, M Chen, T Zhao, W Liao
International Conference on Machine Learning, 6770-6780, 2021
332021
On computation and generalization of generative adversarial networks under spectrum control
H Jiang, Z Chen, M Chen, F Liu, D Wang, T Zhao
International Conference on Learning Representations, 2019
30*2019
Deep nonparametric estimation of operators between infinite dimensional spaces
H Liu, H Yang, M Chen, T Zhao, W Liao
Journal of Machine Learning Research 25 (24), 1-67, 2024
262024
On scalable and efficient computation of large scale optimal transport
Y Xie, M Chen, H Jiang, T Zhao, H Zha
International Conference on Machine Learning, 6882-6892, 2019
252019
Diffusion model for data-driven black-box optimization
Z Li, H Yuan, K Huang, C Ni, Y Ye, M Chen, M Wang
arXiv preprint arXiv:2403.13219, 2024
22*2024
Sample complexity of nonparametric off-policy evaluation on low-dimensional manifolds using deep networks
X Ji, M Chen, M Wang, T Zhao
arXiv preprint arXiv:2206.02887, 2022
192022
Benefits of overparameterized convolutional residual networks: Function approximation under smoothness constraint
H Liu, M Chen, S Er, W Liao, T Zhang, T Zhao
International Conference on Machine Learning, 13669-13703, 2022
162022
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