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 |
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) |
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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) |
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Keyword(1) |
Machine Learning |
Keyword(2) |
Model Selection |
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Approximate Regularization Path |
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Convex Optimization |
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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 |
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Nagoya Institute of Technology (NIT) |
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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 |
#Pages |
8 |
Date of Issue |
2015-02-26 (IBISML) |
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