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TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block
  Inversion

TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion

7 June 2021
Saeed Soori
Bugra Can
Baourun Mu
Mert Gurbuzbalaban
M. Dehnavi
ArXivPDFHTML

Papers citing "TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion"

5 / 5 papers shown
Title
Natural Gradient Methods: Perspectives, Efficient-Scalable
  Approximations, and Analysis
Natural Gradient Methods: Perspectives, Efficient-Scalable Approximations, and Analysis
Rajesh Shrestha
ODL
16
4
0
06 Mar 2023
Scalable K-FAC Training for Deep Neural Networks with Distributed
  Preconditioning
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning
Lin Zhang
S. Shi
Wei Wang
Bo-wen Li
28
10
0
30 Jun 2022
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum
  Neural Networks
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks
Zeyi Tao
Jindi Wu
Qi Xia
Qun Li
23
9
0
05 May 2022
A Mini-Block Fisher Method for Deep Neural Networks
A Mini-Block Fisher Method for Deep Neural Networks
Achraf Bahamou
D. Goldfarb
Yi Ren
ODL
32
9
0
08 Feb 2022
Understanding the Effects of Second-Order Approximations in Natural
  Policy Gradient Reinforcement Learning
Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning
Brennan Gebotys
Alexander Wong
David A Clausi
16
2
0
22 Jan 2022
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