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Overparameterization of deep ResNet: zero loss and mean-field analysis

Overparameterization of deep ResNet: zero loss and mean-field analysis

30 May 2021
Zhiyan Ding
Shi Chen
Qin Li
S. Wright
    ODL
ArXivPDFHTML

Papers citing "Overparameterization of deep ResNet: zero loss and mean-field analysis"

6 / 6 papers shown
Title
Understanding the training of infinitely deep and wide ResNets with
  Conditional Optimal Transport
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport
Raphael Barboni
Gabriel Peyré
Franccois-Xavier Vialard
32
3
0
19 Mar 2024
Accelerating optimization over the space of probability measures
Accelerating optimization over the space of probability measures
Shi Chen
Wenxuan Wu
Yuhang Yao
Stephen J. Wright
26
4
0
06 Oct 2023
High-dimensional scaling limits and fluctuations of online least-squares
  SGD with smooth covariance
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
Krishnakumar Balasubramanian
Promit Ghosal
Ye He
30
5
0
03 Apr 2023
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
30
11
0
06 Oct 2021
Representing smooth functions as compositions of near-identity functions
  with implications for deep network optimization
Representing smooth functions as compositions of near-identity functions with implications for deep network optimization
Peter L. Bartlett
S. Evans
Philip M. Long
68
31
0
13 Apr 2018
Global optimality conditions for deep neural networks
Global optimality conditions for deep neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
121
117
0
08 Jul 2017
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