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Weinan E
Publications
- 2021
- [c14]Chao Ma, Lei Wu, Weinan E:
A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms. MSML 2021: 671-692 - 2020
- [c12]Zehao Don, Weinan E, Chao Ma:
A Priori Estimates of the Generalization Error for Autoencoders. ICASSP 2020: 3327-3331 - [c11]Chao Ma, Lei Wu, Weinan E:
The Slow Deterioration of the Generalization Error of the Random Feature Model. MSML 2020: 373-389 - [c10]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E:
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS 2020 - [i48]Chao Ma, Lei Wu, Weinan E:
The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models. CoRR abs/2006.14450 (2020) - [i44]Chao Ma, Lei Wu, Weinan E:
The Slow Deterioration of the Generalization Error of the Random Feature Model. CoRR abs/2008.05621 (2020) - [i41]Chao Ma, Lei Wu, Weinan E:
A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms. CoRR abs/2009.06125 (2020) - [i39]Weinan E, Chao Ma, Stephan Wojtowytsch, Lei Wu:
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't. CoRR abs/2009.10713 (2020) - [i34]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E:
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR abs/2010.05627 (2020) - 2019
- [i29]Weinan E, Chao Ma, Qingcan Wang:
A Priori Estimates of the Population Risk for Residual Networks. CoRR abs/1903.02154 (2019) - [i28]Weinan E, Chao Ma, Lei Wu:
A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics. CoRR abs/1904.04326 (2019) - [i27]Weinan E, Chao Ma, Qingcan Wang, Lei Wu:
Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections. CoRR abs/1904.05263 (2019) - [i26]Weinan E, Chao Ma, Lei Wu:
Barron Spaces and the Compositional Function Spaces for Neural Network Models. CoRR abs/1906.08039 (2019) - [i24]Weinan E, Chao Ma, Lei Wu:
On the Generalization Properties of Minimum-norm Solutions for Over-parameterized Neural Network Models. CoRR abs/1912.06987 (2019) - [i23]Weinan E, Chao Ma, Lei Wu:
Machine Learning from a Continuous Viewpoint. CoRR abs/1912.12777 (2019) - 2018
- [c7]Lei Wu, Chao Ma, Weinan E:
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective. NeurIPS 2018: 8289-8298 - [i19]Chao Ma, Jianchun Wang, Weinan E:
Model Reduction with Memory and the Machine Learning of Dynamical Systems. CoRR abs/1808.04258 (2018) - [i17]Weinan E, Chao Ma, Lei Wu:
A Priori Estimates of the Generalization Error for Two-layer Neural Networks. CoRR abs/1810.06397 (2018)
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