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 2010-11-04 15:00
[Poster Presentation] A Unified Framework of Density Ratio Estimation under Bregman Divergence
Masashi Sugiyama (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.) IBISML2010-64
Abstract (in Japanese) (See Japanese page) 
(in English) Estimation of the ratio of probability densities has attracted a great deal of attention
since it can be used for addressing various statistical paradigms
such as non-stationarity adaptation, two-sample test,
outlier detection, mutual information estimation,
dimensionality reduction, independent component analysis, causal inference,
conditional density estimation, and probabilistic classification.
A naive approach to density ratio approximation
is to first estimates numerator and denominator densities separately and
then take their ratio.
However, this two-step approach does not perform well in practice,
and methods for directly estimating the density ratio without going
through density estimation have been explored,
including methods based on
moment matching,
probabilistic classification,
density matching,
and density-ratio fitting.
The contributions of this paper are three folds:
First, we give a comprehensive review
of existing density ratio estimation methods
and discuss their pros and cons.
The second contribution is that we propose a new framework of density ratio estimation
in which a density-ratio model is fitted to the true density-ratio under the Bregman divergence.
Our new framework includes all the above existing approaches as special cases,
and is substantially more general.
Thus, it provides a unified view of various density ratio estimation methods.
Finally, we develop a robust density ratio estimation method
under the power divergence, which is a novel instance in our framework.
Keyword (in Japanese) (See Japanese page) 
(in English) density ratio / Bregman divergence / logistic regression / kernel mean matching / Kullback-Leibler importance estimation procedure / least-squares importance fitting / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 265, IBISML2010-64, pp. 33-44, Nov. 2010.
Paper # IBISML2010-64 
Date of Issue 2010-10-28 (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)
Download PDF IBISML2010-64

Conference Information
Committee IBISML  
Conference Date 2010-11-04 - 2010-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) IIS, Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IBIS 2010 (Workshop on Information-based Induction Sciences) 
Paper Information
Registration To IBISML 
Conference Code 2010-11-IBISML 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Unified Framework of Density Ratio Estimation under Bregman Divergence 
Sub Title (in English)  
Keyword(1) density ratio  
Keyword(2) Bregman divergence  
Keyword(3) logistic regression  
Keyword(4) kernel mean matching  
Keyword(5) Kullback-Leibler importance estimation procedure  
Keyword(6) least-squares importance fitting  
Keyword(7)  
Keyword(8)  
1st Author's Name Masashi Sugiyama  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Taiji Suzuki  
2nd Author's Affiliation University of Tokyo (Univ. of Tokyo)
3rd Author's Name Takafumi Kanamori  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
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 2010-11-04 15:00:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2010-64 
Volume (vol) vol.110 
Number (no) no.265 
Page pp.33-44 
#Pages 12 
Date of Issue 2010-10-28 (IBISML) 


[Return to Top Page]

[Return to IEICE Web Page]


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