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Proximal Mean Field Learning in Shallow Neural Networks

Proximal Mean Field Learning in Shallow Neural Networks

25 October 2022
Alexis M. H. Teter
Iman Nodozi
A. Halder
    FedML
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Papers citing "Proximal Mean Field Learning in Shallow Neural Networks"

4 / 4 papers shown
Title
Linear convergence of proximal descent schemes on the Wasserstein space
Linear convergence of proximal descent schemes on the Wasserstein space
Razvan-Andrei Lascu
Mateusz B. Majka
David Siska
Łukasz Szpruch
62
1
0
22 Nov 2024
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
347
0
14 Jun 2018
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
56
114
0
02 May 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
166
596
0
22 Sep 2016
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