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Paper Abstract and Keywords
Presentation 2022-09-15 15:05
Improving Efficiency of Regularization Path Computation in Safe Pattern Pruning via Multiple Referential Solutions
Takumi Yoshida (Nitech), Hiroyuki Hanada (RIKEN), Kazuya Nakagawa, Shinya Suzumura, Onur Boyar, Kazuki Iwata (Nitech), Shun Shimura, Yuji Tanaka (NaogyaU), Masayuki Karasuyama (Nitech), Kouichi Taji (NaogyaU), Koji Tsuda (UTokyo/RIKEN), Ichiro Takeuchi (NaogyaU/RIKEN) IBISML2022-38
Abstract (in Japanese) (See Japanese page) 
(in English) Safe Screening and Safe Pattern Pruning are methods for efficiently modeling high-dimensional features by $L_1$-regularized learning. These methods improve the efficiency of it by identifying features to be excluded from the model in advance. These methods require a feasible solution to be used as a reference, and it is known that in $L_1$ regularization, the training result with the previous regularization parameter can be used as a reference solution. In this study, we focus on the situations where multiple reference solutions are available, such as Elastic Net regularization. We propose to use these multiple reference solutions in such cases. Then we demonstrate that stronger screening is possible in real data experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) L1-Regularized Optimization / Safe Screening / Safe Pattern Pruning / Pattern Mining / Structured Input / Convex Optimization / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 189, IBISML2022-38, pp. 39-46, Sept. 2022.
Paper # IBISML2022-38 
Date of Issue 2022-09-08 (IBISML) 
ISSN Online edition: ISSN 2432-6380
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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 IBISML2022-38

Conference Information
Committee IBISML  
Conference Date 2022-09-15 - 2022-09-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. (Yagami Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2022-09-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Efficiency of Regularization Path Computation in Safe Pattern Pruning via Multiple Referential Solutions 
Sub Title (in English)  
Keyword(1) L1-Regularized Optimization  
Keyword(2) Safe Screening  
Keyword(3) Safe Pattern Pruning  
Keyword(4) Pattern Mining  
Keyword(5) Structured Input  
Keyword(6) Convex Optimization  
Keyword(7)  
Keyword(8)  
1st Author's Name Takumi Yoshida  
1st Author's Affiliation Nagoya Institute of Technology (Nitech)
2nd Author's Name Hiroyuki Hanada  
2nd Author's Affiliation Institute of Physical and Chemical Research (RIKEN)
3rd Author's Name Kazuya Nakagawa  
3rd Author's Affiliation Nagoya Institute of Technology (Nitech)
4th Author's Name Shinya Suzumura  
4th Author's Affiliation Nagoya Institute of Technology (Nitech)
5th Author's Name Onur Boyar  
5th Author's Affiliation Nagoya Institute of Technology (Nitech)
6th Author's Name Kazuki Iwata  
6th Author's Affiliation Nagoya Institute of Technology (Nitech)
7th Author's Name Shun Shimura  
7th Author's Affiliation Nagoya University (NaogyaU)
8th Author's Name Yuji Tanaka  
8th Author's Affiliation Nagoya University (NaogyaU)
9th Author's Name Masayuki Karasuyama  
9th Author's Affiliation Nagoya Institute of Technology (Nitech)
10th Author's Name Kouichi Taji  
10th Author's Affiliation Nagoya University (NaogyaU)
11th Author's Name Koji Tsuda  
11th Author's Affiliation The University Tokyo/Institute of Physical and Chemical Research (UTokyo/RIKEN)
12th Author's Name Ichiro Takeuchi  
12th Author's Affiliation Nagoya University/Institute of Physical and Chemical Research (NaogyaU/RIKEN)
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Speaker Author-1 
Date Time 2022-09-15 15:05:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2022-38 
Volume (vol) vol.122 
Number (no) no.189 
Page pp.39-46 
#Pages
Date of Issue 2022-09-08 (IBISML) 


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