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Paper Abstract and Keywords
Presentation 2022-12-03 15:25
Stabilization and Acceleration of Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix
Jun'ichi Takeuchi, Yoshinari Takeishi, Masazumi Iida (Kyushu Univ.), Noboru Murata (Waseda Univ.), Kazushi Mimura (Hiroshima City Univ.), Hiroshi Nagaoka (Univ. of Electro Communication) MBE2022-39 NC2022-61
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a method to stabilize the gradient decent method without decreasing learning rate for two-layer neural networks, which can accelerate learning process as a result. The method is given by modifying the gradient based on the eigenvalue grouping phenomena for the Fisher information matrix, which was discovered by the authors. We report that our method is effective by numerical simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) fisher information matrix / eigenvalu decomposition / gradient decent / learning rate / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 292, NC2022-61, pp. 80-85, Dec. 2022.
Paper # NC2022-61 
Date of Issue 2022-11-26 (MBE, NC) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MBE2022-39 NC2022-61

Conference Information
Committee MBE NC  
Conference Date 2022-12-03 - 2022-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Electro-Communication University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, ME, etc. 
Paper Information
Registration To NC 
Conference Code 2022-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stabilization and Acceleration of Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix 
Sub Title (in English)  
Keyword(1) fisher information matrix  
Keyword(2) eigenvalu decomposition  
Keyword(3) gradient decent  
Keyword(4) learning rate  
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Keyword(6)  
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1st Author's Name Jun'ichi Takeuchi  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Yoshinari Takeishi  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Masazumi Iida  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Noboru Murata  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Kazushi Mimura  
5th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
6th Author's Name Hiroshi Nagaoka  
6th Author's Affiliation University of Electro Communication (Univ. of Electro Communication)
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Speaker Author-3 
Date Time 2022-12-03 15:25:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # MBE2022-39, NC2022-61 
Volume (vol) vol.122 
Number (no) no.291(MBE), no.292(NC) 
Page pp.80-85 
#Pages 6 
Date of Issue 2022-11-26 (MBE, NC) 

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