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Paper Abstract and Keywords
Presentation 2015-11-27 14:00
[Poster Presentation] Non-parametric tensor learning with Gaussian process prior and its application to multi-task learning
Heishiro Kanagawa, Taiji Suzuki (Titech) IBISML2015-89
Abstract (in Japanese) (See Japanese page) 
(in English) 低ランクテンソル推定は複数のデータソース間の高次の関係性を学習する方法として,マルチタスク学習,
推薦システム,時空間解析など様々な問題に応用されている.低ランクテンソルを推定する代表的な手法として,線
形のモデルを仮定した凸最適化に基づく手法がよく用いられる.しかし,このような線形な凸最適化手法は,データ
に潜む非線形性の記述が難しいという実用的問題や,デザインへの強凸性の仮定のような強い仮定が必要であるとい
う理論的問題がある.本研究では,線形モデルを再生核ヒルベルト空間での問題に拡張し,特にガウシアンプロセス
事前分布を用いたベイズ法に基づく手法を提案し,その収束レートを制限強凸性のような条件を仮定せずに示す.ま
た提案手法を実データに対するマルチタスクラーニングへと適用し,既存の線形手法に比べ,高い推定精度を持つこ
とを数値的に示す.
Keyword (in Japanese) (See Japanese page) 
(in English) tensor / Gaussian process / multi-task learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 323, IBISML2015-89, pp. 273-280, Nov. 2015.
Paper # IBISML2015-89 
Date of Issue 2015-11-19 (IBISML) 
ISSN Print edition: ISSN 0913-5685    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 2015-11-25 - 2015-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Epochal Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2015) 
Paper Information
Registration To IBISML 
Conference Code 2015-11-IBISML 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Non-parametric tensor learning with Gaussian process prior and its application to multi-task learning 
Sub Title (in English)  
Keyword(1) tensor  
Keyword(2) Gaussian process  
Keyword(3) multi-task learning  
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1st Author's Name Heishiro Kanagawa  
1st Author's Affiliation Tokyo Institute of Technology (Titech)
2nd Author's Name Taiji Suzuki  
2nd Author's Affiliation Tokyo Institute of Technology (Titech)
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Speaker Author-1 
Date Time 2015-11-27 14:00:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2015-89 
Volume (vol) vol.115 
Number (no) no.323 
Page pp.273-280 
#Pages
Date of Issue 2015-11-19 (IBISML) 


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