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Learning with Gradient Descent and Weakly Convex Losses

Learning with Gradient Descent and Weakly Convex Losses

13 January 2021
Dominic Richards
Michael G. Rabbat
    MLT
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Papers citing "Learning with Gradient Descent and Weakly Convex Losses"

4 / 4 papers shown
Title
Sharper Guarantees for Learning Neural Network Classifiers with Gradient
  Methods
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods
Hossein Taheri
Christos Thrampoulidis
Arya Mazumdar
MLT
36
0
0
13 Oct 2024
Generalization Guarantees of Gradient Descent for Multi-Layer Neural
  Networks
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
Puyu Wang
Yunwen Lei
Di Wang
Yiming Ying
Ding-Xuan Zhou
MLT
29
4
0
26 May 2023
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,201
0
16 Aug 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
127
577
0
27 Feb 2015
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