|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2022-12-22 16:15 |
Kyoto |
Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-49 |
Gaussian process upper confidence bound (GP-UCB) is a theoretically promising black-box optimization method; however, a ... [more] |
IBISML2022-49 pp.38-45 |
IBISML |
2022-12-23 14:00 |
Kyoto |
Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-60 |
(To be available after the conference date) [more] |
IBISML2022-60 pp.120-127 |
IBISML |
2022-01-17 10:20 |
Online |
Online |
Constrained Bayesian Optimization through Optimal-value Entropy Shion Takeno, Tomoyuki Tamura (NIT), Kazuki Shitara (Osaka Univ./JFCC), Masayuki Karasuyama (NIT) IBISML2021-19 |
The constrained optimization problem for the expensive black-box function is a major problem. Although the effectiveness... [more] |
IBISML2021-19 pp.9-16 |
IBISML |
2022-01-18 15:00 |
Online |
Online |
Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search Rintaro Yamada, Shion Takeno, Masayuki Karasuyama (NIT) IBISML2021-28 |
Bayesian optimization (BO) has been widely studied as an effective approach to black-box optimizations. On the other han... [more] |
IBISML2021-28 pp.75-80 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 15:45 |
Online |
Online |
Active learning for distributionally robust chance-constrained optimization Yu Inatsu, Shion Takeno, Masayuki Karasuyama (Nitech), Ichiro Takeuchi (Nitech/RIKEN) NC2021-7 IBISML2021-7 |
Chance-constrained optimization (CCO) is one of the constrained optimization problems where some of the inputs to a blac... [more] |
NC2021-7 IBISML2021-7 pp.47-54 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 10:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Active Level Set Estimation with Multi-fidelity Evaluations Shion Takeno (Nitech), Hitoshi Fukuoka (Nagoya Univ.), Yuhki Tsukada (Nagoya Univ./JST), Toshiyuki Koyama (Nagoya Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-1 |
Level set estimation is a problem to identify a level set of an unknown function, which is defined by whether the functi... [more] |
IBISML2018-1 pp.1-8 |
|
|
|
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)
|
[Return to Top Page]
[Return to IEICE Web Page]
|