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Paper Abstract and Keywords
Presentation 2018-11-05 15:10
[Poster Presentation] Active Learning in Sparse Linear Regression Models via Selective Inference
Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-95
Abstract (in Japanese) (See Japanese page) 
(in English) In order to efficiently estimate interested parameter, one can design sampling strategy by defining some criterion on the optimality. This is a problem of so-called active learning or optimal design of experiment.
On the other hand, we expect that we can estimate it more efficiently by conducting model selection method when the number of feature is large. However, since the estimator depends on the result of model selection, the problem of selection bias would be occur when we consider the model selection and active learning simultaneously. In this paper, we propose novel active learning method after model selection by exploiting the idea of selective inference.
Keyword (in Japanese) (See Japanese page) 
(in English) Active Learning / Lasso / Model Selection / Selective $A$-optimality / Selective Inference / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-95, pp. 381-388, Nov. 2018.
Paper # IBISML2018-95 
Date of Issue 2018-10-29 (IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee IBISML  
Conference Date 2018-11-05 - 2018-11-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Activites Center (Kaderu 2.7) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2018) 
Paper Information
Registration To IBISML 
Conference Code 2018-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Active Learning in Sparse Linear Regression Models via Selective Inference 
Sub Title (in English)  
Keyword(1) Active Learning  
Keyword(2) Lasso  
Keyword(3) Model Selection  
Keyword(4) Selective $A$-optimality  
Keyword(5) Selective Inference  
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1st Author's Name Yuta Umezu  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Ichiro Takeuchi  
2nd Author's Affiliation Nagoya Institute of Technology/National Institute for Materials Science/RIKEN (NIT/NIMS/RIKEN)
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Speaker Author-1 
Date Time 2018-11-05 15:10:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2018-95 
Volume (vol) vol.118 
Number (no) no.284 
Page pp.381-388 
#Pages
Date of Issue 2018-10-29 (IBISML) 


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