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PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized
  Deep Neural Networks

PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks

6 October 2022
Liu Yang
Jifan Zhang
Joseph Shenouda
Dimitris Papailiopoulos
Kangwook Lee
Robert D. Nowak
ArXivPDFHTML

Papers citing "PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks"

5 / 5 papers shown
Title
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear
  Functions
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
34
24
0
29 Sep 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Aaron Mishkin
Arda Sahiner
Mert Pilanci
OffRL
73
30
0
02 Feb 2022
Training Structured Neural Networks Through Manifold Identification and
  Variance Reduction
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Zih-Syuan Huang
Ching-pei Lee
AAML
38
8
0
05 Dec 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
99
77
0
08 Dec 2020
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
111
577
0
27 Feb 2015
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