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Convex Formulation of Overparameterized Deep Neural Networks

Convex Formulation of Overparameterized Deep Neural Networks

18 November 2019
Cong Fang
Yihong Gu
Weizhong Zhang
Tong Zhang
ArXivPDFHTML

Papers citing "Convex Formulation of Overparameterized Deep Neural Networks"

5 / 5 papers shown
Title
Efficient Neural Network Training via Forward and Backward Propagation
  Sparsification
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou
Weizhong Zhang
Zonghao Chen
Shizhe Diao
Tong Zhang
34
46
0
10 Nov 2021
On the Global Convergence of Gradient Descent for multi-layer ResNets in
  the mean-field regime
On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime
Zhiyan Ding
Shi Chen
Qin Li
S. Wright
MLT
AI4CE
41
11
0
06 Oct 2021
Can Temporal-Difference and Q-Learning Learn Representation? A
  Mean-Field Theory
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang
Qi Cai
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
OOD
MLT
102
11
0
08 Jun 2020
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable
  Optimization Via Overparameterization From Depth
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
Yiping Lu
Chao Ma
Yulong Lu
Jianfeng Lu
Lexing Ying
MLT
39
78
0
11 Mar 2020
Trainability and Accuracy of Neural Networks: An Interacting Particle
  System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
59
118
0
02 May 2018
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