IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2015-03-06 15:45
Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems
Atsushi Shibagaki, Yoshiki Suzuki, Ichiro Takeuchi (NIT) IBISML2014-96
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we propose a new algorithm that can select an approximately optimal regularization parameter in a class of regularized convex classifier learning problems. The selected regularization parameter has a theoretical approximation guarantee in the sense that the validation error for the regularization parameter is at most greater by $varepsilon$ than the smallest possible validation error, where $varepsilon in [0, 1]$ is a user specified tolerance. We demonstrate the effectiveness of the proposed method through numerical experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Model Selection / Approximate Regularization Path / Convex Optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 502, IBISML2014-96, pp. 79-86, March 2015.
Paper # IBISML2014-96 
Date of Issue 2015-02-26 (IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 IBISML2014-96

Conference Information
Committee IBISML  
Conference Date 2015-03-05 - 2015-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathematics, machine learning, data mining, and others 
Paper Information
Registration To IBISML 
Conference Code 2015-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Model Selection  
Keyword(3) Approximate Regularization Path  
Keyword(4) Convex Optimization  
1st Author's Name Atsushi Shibagaki  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Yoshiki Suzuki  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Ichiro Takeuchi  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2015-03-06 15:45:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # IBISML2014-96 
Volume (vol) vol.114 
Number (no) no.502 
Page pp.79-86 
Date of Issue 2015-02-26 (IBISML) 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan