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Paper Abstract and Keywords
Presentation 2022-06-28 15:25
Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search
Kota Misaki, Shin Matsushima (UTokyo) NC2022-20 IBISML2022-20
Abstract (in Japanese) (See Japanese page) 
(in English) There is a high demand for understanding causal relationships among multiple factors in the social and natural sciences. To explore such causal relationships, experiments called randomized controlled trials (Randomized Controlled Trial, RCT) are sometimes conducted, which can be difficult to conduct from financial and ethical perspectives. \
In such cases, methods have been proposed to perform statistical causal inference using only observational data without intervention, such as GES (Chickering, 2002), LiNGAM (Shimizu et al., 2006, Shimizu et al., 2011), NO TEARS (Zheng et al., 2018) are examples of them.\
In this study, among them, for Direct LiNGAM (Shimizu et al., 2011), we introduced the idea of replacing a causal inference problem like NO TEARS with mathematical optimization and formulated the objective function of Direct LiNGAM. Furthermore, we improved the objective function in a way that solves the problems identified in the formulation. The results obtained by optimizing the objective function more rigorously outperformed those obtained by conventional Direct LiNGAM in terms of accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Causal discovery / Direct LiNGAM / NO TEARS / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 90, IBISML2022-20, pp. 143-148, June 2022.
Paper # IBISML2022-20 
Date of Issue 2022-06-20 (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 NC2022-20 IBISML2022-20

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2022-06-27 - 2022-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2022-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search 
Sub Title (in English)  
Keyword(1) Causal discovery  
Keyword(2) Direct LiNGAM  
Keyword(3) NO TEARS  
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1st Author's Name Kota Misaki  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Shin Matsushima  
2nd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2022-06-28 15:25:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2022-20, IBISML2022-20 
Volume (vol) vol.122 
Number (no) no.89(NC), no.90(IBISML) 
Page pp.143-148 
#Pages 6 
Date of Issue 2022-06-20 (NC, IBISML) 

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