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| Presentation | 2022-03-08 10:25 Robust computation of optimal transport by β-potential regularization Shintaro Nakamura (Univ. Tokyo), Han Bao (Univ.Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. Tokyo)  IBISML2021-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Optimal transport (OT) has become a widely used tool to measure the discrepancy between probability distributions in the machine learning field. For instance, OT is a popular loss function that quantifies the discrepancy between an empirical distribution and a parametric model. Recently, an entropic penalty term and the celebrated Sinkhorn algorithm have been commonly used to approximate the original OT in a computationally efficient way. However, since the Sinkhorn algorithm runs a projection associated with the Kullback-Leibler divergence, it is often vulnerable to outliers. To overcome this problem, we propose regularizing OT with the |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Optimal transport / Robustness / outlier detection / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 419, IBISML2021-31, pp. 8-14, March 2022. | |
| Paper # | IBISML2021-31 | |
| Date of Issue | 2022-03-01 (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 | IBISML2021-31 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2022-03-08 - 2022-03-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning, etc. |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2022-03-IBISML |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Robust computation of optimal transport by β-potential regularization |
| Sub Title (in English) | |
| Keyword(1) | Optimal transport |
| Keyword(2) | Robustness |
| Keyword(3) | outlier detection |
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| 1st Author's Name | Shintaro Nakamura |
| 1st Author's Affiliation | University of Tokyo (Univ. Tokyo) |
| 2nd Author's Name | Han Bao |
| 2nd Author's Affiliation | University of Tokyo/RIKEN (Univ.Tokyo/RIKEN) |
| 3rd Author's Name | Masashi Sugiyama |
| 3rd Author's Affiliation | RIKEN/University of Tokyo (RIKEN/Univ. Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2022-03-08 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | IBISML2021-31 |
| Volume (vol) | vol.121 |
| Number (no) | no.419 |
| Page | pp.8-14 |
| #Pages | 7 |
| Date of Issue | 2022-03-01 (IBISML) |
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