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Rethinking Gauss-Newton for learning over-parameterized models

Rethinking Gauss-Newton for learning over-parameterized models

6 February 2023
Michael Arbel
Romain Menegaux
Pierre Wolinski
    AI4CE
ArXivPDFHTML

Papers citing "Rethinking Gauss-Newton for learning over-parameterized models"

3 / 3 papers shown
Title
Gauss-Newton Dynamics for Neural Networks: A Riemannian Optimization
  Perspective
Gauss-Newton Dynamics for Neural Networks: A Riemannian Optimization Perspective
Semih Cayci
69
0
0
18 Dec 2024
Exact Gauss-Newton Optimization for Training Deep Neural Networks
Exact Gauss-Newton Optimization for Training Deep Neural Networks
Mikalai Korbit
Adeyemi Damilare Adeoye
Alberto Bemporad
Mario Zanon
ODL
28
0
0
23 May 2024
Regularized Gauss-Newton for Optimizing Overparameterized Neural
  Networks
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks
Adeyemi Damilare Adeoye
Philipp Christian Petersen
Alberto Bemporad
28
1
0
23 Apr 2024
1