Paper Abstract and Keywords |
Presentation |
2016-11-16 15:00
Robust supervised learning under uncertainty in dataset shift Weihua Hu, Issei Sato (UTokyo), Masashi Sugiyama (RIKEN/UTokyo) IBISML2016-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
When machine learning is deployed in the real world, its performance can be significantly undermined because test data may follow a different distribution from training data. To build a reliable machine learning system in such a scenario, we propose a supervised learning framework that is explicitly robust to the uncertainty of dataset shift. Our robust learning framework is flexible in modeling various dataset shift scenarios. It is also computation- ally efficient in that it acts as a robust wrapper around existing gradient-based supervised learning algorithms, while adding negligible computational overheads. We discuss practical considerations in robust supervised learning and show the effectiveness of our approach on both synthetic and benchmark datasets. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dataset shift / Supervised learning / Robust learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 300, IBISML2016-50, pp. 37-44, Nov. 2016. |
Paper # |
IBISML2016-50 |
Date of Issue |
2016-11-09 (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 |
IBISML2016-50 |
Conference Information |
Committee |
IBISML |
Conference Date |
2016-11-16 - 2016-11-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyoto Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Information-Based Induction Science Workshop (IBIS2016) |
Paper Information |
Registration To |
IBISML |
Conference Code |
2016-11-IBISML |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Robust supervised learning under uncertainty in dataset shift |
Sub Title (in English) |
|
Keyword(1) |
Dataset shift |
Keyword(2) |
Supervised learning |
Keyword(3) |
Robust learning |
Keyword(4) |
|
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Weihua Hu |
1st Author's Affiliation |
The University of Tokyo (UTokyo) |
2nd Author's Name |
Issei Sato |
2nd Author's Affiliation |
The University of Tokyo (UTokyo) |
3rd Author's Name |
Masashi Sugiyama |
3rd Author's Affiliation |
RIKEN/The University of Tokyo (RIKEN/UTokyo) |
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 |
2016-11-16 15:00:00 |
Presentation Time |
180 minutes |
Registration for |
IBISML |
Paper # |
IBISML2016-50 |
Volume (vol) |
vol.116 |
Number (no) |
no.300 |
Page |
pp.37-44 |
#Pages |
8 |
Date of Issue |
2016-11-09 (IBISML) |
|