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 2021-06-28 16:10
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8
Abstract (in Japanese) (See Japanese page) 
(in English) Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven hypotheses.
The basic idea of conditional SI is to make inferences conditional on the selection event characterized by a set of linear and/or quadratic inequalities.
Conditional SI has been mainly studied in the context of feature selection such as stepwise feature selection (SFS).
The main limitation of the existing conditional SI methods is the loss of power due to over-conditioning, which is required for computational tractability.
In this study, we develop a more powerful and general conditional SI method for SFS using the homotopy method which enables us to overcome this limitation.
We conduct several experiments to demonstrate the effectiveness and efficiency of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) conditional SI / data-driven hypothesis / stepwise feature selection / homotopy continuation / statistical power / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 80, IBISML2021-8, pp. 55-61, June 2021.
Paper # IBISML2021-8 
Date of Issue 2021-06-21 (NC, IBISML) 
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 NC2021-8 IBISML2021-8

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2021-06-28 - 2021-06-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2021-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method 
Sub Title (in English)  
Keyword(1) conditional SI  
Keyword(2) data-driven hypothesis  
Keyword(3) stepwise feature selection  
Keyword(4) homotopy continuation  
Keyword(5) statistical power  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuya Sugiyama  
1st Author's Affiliation Nagoya Institute of Technology (Nitech)
2nd Author's Name Vo Nguyen Le Duy  
2nd Author's Affiliation Nagoya Institute of Technology/RIKEN (Nitech/RIKEN)
3rd Author's Name Ichiro Takeuchi  
3rd Author's Affiliation Nagoya Institute of Technology/RIKEN (Nitech/RIKEN)
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 2021-06-28 16:10:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2021-8, IBISML2021-8 
Volume (vol) vol.121 
Number (no) no.79(NC), no.80(IBISML) 
Page pp.55-61 
#Pages
Date of Issue 2021-06-21 (NC, IBISML) 


[Return to Top Page]

[Return to IEICE Web Page]


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