Paper Abstract and Keywords |
Presentation |
2011-11-09 15:45
Relative Density-Ratio Estimation for Robust Distribution Comparison Makoto Yamada (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.), Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-46 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Divergence estimators based on direct approximation of density-ratios
without going through separate approximation of numerator and denominator densities
have been successfully applied to machine learning tasks
that involve distribution comparison
such as outlier detection, transfer learning, and two-sample homogeneity test.
However, since density-ratio functions often possess high fluctuation,
divergence estimation is still a challenging task in practice.
In this paper, we propose to use \emph{relative divergences}
for distribution comparison,
which involves approximation of \emph{relative density-ratios}.
Since relative density-ratios are always smoother than corresponding ordinary density-ratios,
our proposed method is favorable in terms of the non-parametric convergence speed.
Furthermore, we show that the proposed divergence estimator has asymptotic variance
\emph{independent} of the model complexity under a parametric setup,
implying that the proposed estimator hardly overfits
even with complex models.
Through experiments, we demonstrate the usefulness of the proposed approach. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Relative Density-Ratio / Outlier Detection / Two-Sample Test / Transfer Learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 275, IBISML2011-46, pp. 25-32, Nov. 2011. |
Paper # |
IBISML2011-46 |
Date of Issue |
2011-11-02 (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) |
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IBISML2011-46 |
Conference Information |
Committee |
IBISML |
Conference Date |
2011-11-09 - 2011-11-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nara Womens Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The 14th IBIS workshop |
Paper Information |
Registration To |
IBISML |
Conference Code |
2011-11-IBISML |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Relative Density-Ratio Estimation for Robust Distribution Comparison |
Sub Title (in English) |
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Keyword(1) |
Relative Density-Ratio |
Keyword(2) |
Outlier Detection |
Keyword(3) |
Two-Sample Test |
Keyword(4) |
Transfer Learning |
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1st Author's Name |
Makoto Yamada |
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 |
Hirotaka Hachiya |
4th Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
5th Author's Name |
Masashi Sugiyama |
5th Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2011-11-09 15:45:00 |
Presentation Time |
180 minutes |
Registration for |
IBISML |
Paper # |
IBISML2011-46 |
Volume (vol) |
vol.111 |
Number (no) |
no.275 |
Page |
pp.25-32 |
#Pages |
8 |
Date of Issue |
2011-11-02 (IBISML) |
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