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| Chair |
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Hirokazu Tanaka (Tokyo City Univ.) |
| Vice Chair |
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Jun Izawa (Univ. of Tsukub) |
| Secretary |
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Hiroki Terashima (NTT), Saori Tanaka (NAIST) |
| Assistant |
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Yoshimasa Tawatsuji (Waseda Univ.), Takato Horii (Osaka Univ.) |
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| Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) |
[schedule] [select]
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| Chair |
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Masashi Sugiyama (Univ. of Tokyo) |
| Vice Chair |
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Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo) |
| Secretary |
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Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.) |
| Assistant |
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Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Tokyo Inst. of Tech.) |
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| Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) |
[schedule] [select]
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| Conference Date |
Thu, Jun 29, 2023 09:00 - 18:25
Fri, Jun 30, 2023 09:00 - 18:00
Sat, Jul 1, 2023 09:00 - 16:05 |
| Topics |
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| Conference Place |
Okinawa Institute of Science and Technology Graduate University Conference Center |
| Address |
1919-1 Tancha, Onna-son, Kunigami-gun Okinawa, Japan 904-0495 |
| Transportation Guide |
https://www.oist.jp/campus/access-map |
| Sponsors |
This conference is co-sponsored by Japanese Neural Network Society and IEEE Computational Intelligence Society Japan Chapter.
|
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) |
| Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on NC, IBISML. |
Thu, Jun 29
09:00 - 18:25 |
| (1) |
09:00-09:25 |
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| (2) |
09:25-09:50 |
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| (3) |
09:50-10:15 |
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| (4) |
10:15-10:40 |
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| (5) |
10:40-11:05 |
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| (6) |
11:05-11:20 |
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| |
11:20-13:30 |
Lunch Break ( 130 min. ) |
| (7) |
13:30-13:55 |
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| (8) |
13:55-14:20 |
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| (9) |
14:20-14:45 |
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| (10) |
14:45-15:10 |
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| (11) |
15:10-15:35 |
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| (12) |
15:35-15:50 |
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| (13) |
15:50-16:05 |
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16:05-16:15 |
Break ( 10 min. ) |
| (14) |
16:15-16:40 |
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| (15) |
16:40-17:05 |
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| (16) |
17:05-17:30 |
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| (17) |
17:30-17:55 |
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| (18) |
17:55-18:10 |
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| (19) |
18:10-18:25 |
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Fri, Jun 30 AM
09:00 - 11:20 |
| (20) |
09:00-09:25 |
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| (21) |
09:25-09:50 |
|
| (22) |
09:50-10:15 |
|
| (23) |
10:15-10:40 |
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| (24) |
10:40-11:05 |
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| (25) |
11:05-11:20 |
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Fri, Jun 30 PM
13:30 - 15:40 |
| (26) |
13:30-13:55 |
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| (27) |
13:55-14:20 |
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| (28) |
14:20-14:45 |
|
| (29) |
14:45-15:10 |
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| (30) |
15:10-15:25 |
|
| (31) |
15:25-15:40 |
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Fri, Jun 30 PM
16:00 - 17:00 |
| |
- |
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Fri, Jun 30 PM
17:00 - 18:00 |
| |
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Speaker：Han Zhao
Title：Fair and Optimal Prediction via Post-Processing
Abstract：To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it often comes at the expense of model performance. Understanding such tradeoffs, therefore, underlies the design of fair algorithms. In this talk, I will first discuss our recent work on proving the tradeoff between fairness and accuracy in both classification and regression problems, where we show that the cost of fairness could be characterized by the optimal value of a Wasserstein-barycenter problem. Then I will show that the complexity of learning the optimal fair predictor is the same as learning the Bayes predictor, and present a post-processing algorithm based on the solution to the Wasserstein-barycenter problem that derives the optimal fair predictors from Bayes score functions. I will also present the empirical results of our fair algorithm and conclude the talk with some discussion on the close interplay between algorithmic fairness and domain generalization. |
Sat, Jul 1 AM
09:00 - 16:05 |
| (32) |
09:00-09:15 |
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| (33) |
09:15-09:30 |
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| (34) |
09:30-09:45 |
|
| (35) |
09:45-10:10 |
|
| (36) |
10:10-10:35 |
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| (37) |
10:35-11:00 |
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| (38) |
11:00-11:25 |
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| |
11:25-13:30 |
Lunch Break ( 125 min. ) |
| (39) |
13:30-13:55 |
|
| (40) |
13:55-14:20 |
|
| (41) |
14:20-14:45 |
|
| (42) |
14:45-15:00 |
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| (43) |
15:00-15:25 |
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| (44) |
15:25-15:40 |
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| (45) |
15:40-16:05 |
|
Thu, Jun 29
13:30 - 18:05 |
(46)
IBISML |
13:30-13:55 |
Selective Inference for a Combination of Feature Selection Algorithms  NC2023-1 IBISML2023-1 |
Tatsuya Matsukawa (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Koichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) |
(47)
IBISML |
13:55-14:20 |
NC2023-2 IBISML2023-2 |
|
(48)
IBISML |
14:20-14:45 |
Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression NC2023-3 IBISML2023-3 |
Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT) |
(49)
IBISML |
14:45-15:10 |
Multiple Instance Learning with major class NC2023-4 IBISML2023-4 |
Kaito Shiku, Shinnosuke Matsuo (Kyushu Univ), Daiki Suehiro (YCU), Bise Ryoma (Kyushu Univ) |
(50)
IBISML |
15:10-15:35 |
Selective Inference for DNN-driven Saliency Map NC2023-5 IBISML2023-5 |
Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Tomohiro Shiraishi (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) |
| |
15:35-16:00 |
Break ( 25 min. ) |
(51)
IBISML |
16:00-16:25 |
NC2023-6 IBISML2023-6 |
Kotaro Nagata, Kazuhiro Hotta (Meijo Univ) |
(52)
IBISML |
16:25-16:50 |
Minorization-Maximization for Determinantal Point Processes NC2023-7 IBISML2023-7 |
Takahiro Kawashima (SOKENDAI), Hideitsu Hino (ISM/RIKEN) |
(53)
IBISML |
16:50-17:15 |
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers NC2023-8 IBISML2023-8 |
Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara (NTT) |
(54)
IBISML |
17:15-17:40 |
NC2023-9 IBISML2023-9 |
Satoshi Kamiya (Meijo Univ.), Taka-aki Tsunoyama, Akihiro Kusumi (OIST), Kazuhiro Hotta (Meijo Univ.) |
(55)
IBISML |
17:40-18:05 |
Potential of Domain-agnostic Encoder for Long-range DNA Sequences NC2023-10 IBISML2023-10 |
Naoki Kobayashi, Rintaro Saito, Satoru Morimoto, Tadashi Okoshi, Jin Nakazawa (Keio) |
Fri, Jun 30
09:30 - 15:35 |
(56)
IBISML |
09:30-09:55 |
Lipschitz bandits in unbounded metric spaces and their applications NC2023-11 IBISML2023-11 |
Takanobu Hara (Hokkaido Univ.) |
(57)
IBISML |
09:55-10:20 |
NC2023-12 IBISML2023-12 |
|
(58)
IBISML |
10:20-10:45 |
Hierarchical Classification Transformer for Facial Expression Recognition Utilizing Basic Emotion Relationships NC2023-13 IBISML2023-13 |
Ryo Miyoshi, Shuichi Akizuki (Chukyo Univ.), Kensuke Tobitani (University of Nagasaki), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) |
(59)
IBISML |
10:45-11:10 |
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NC2023-14 IBISML2023-14 |
Yuki Takezawa, Ryoma Sato, Han Bao (Kyoto Univ./OIST), Kenta Niwa (NTT CS Lab.), Makoto Yamada (OIST) |
(60)
IBISML |
11:10-11:35 |
On performance degradation of a method by minimizing the conditional mutual information for the out-of-distribution generalization NC2023-15 IBISML2023-15 |
Genki Takahashi, Toshiyuki Tanaka (Kyoto University) |
| |
11:35-13:30 |
Lunch Break ( 115 min. ) |
(61)
IBISML |
13:30-13:55 |
Predictive graph mining for attributed graph data through proximal gradient pruning NC2023-16 IBISML2023-16 |
Ren Sugihara, Shinji Tajima, Ryota Kitahara, Masayuki Karasuyama (NIT) |
(62)
IBISML |
13:55-14:20 |
Exploring Regioselective Catalysts with Hierarchical Bandits NC2023-17 IBISML2023-17 |
Hongyuan Guo, Koji Tabata, Yoshihiro Matsumura, Tamiki Komatsuzaki (Hokkaido Univ.) |
(63)
IBISML |
14:20-14:45 |
Analogy Tasks in BioConceptVec using Biological Pathways NC2023-18 IBISML2023-18 |
Hiroaki Yamagiwa, Ryoma Hashimoto (Kyoto Univ.), Kiwamu Arakane, Ken Murakami (IPR), Momose Oyama, Hidetoshi Shimodaira (Kyoto Univ.), Mariko Okada (IPR) |
(64)
IBISML |
14:45-15:10 |
Diffusion model with MASKed input for generating gestures during dyadic conversation NC2023-19 IBISML2023-19 |
Yuya Okadome (TUS), Yutaka Nakamura (Riken) |
(65)
IBISML |
15:10-15:35 |
Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths NC2023-20 IBISML2023-20 |
Yusuke Takase, Hidetoshi Shimodaira (Kyoto Univ.) |
Sat, Jul 1
09:30 - 11:10 |
(66)
NC |
09:30-09:55 |
Input interactions in hippocampal dentate gyrus granule cell dendrites NC2023-21 IBISML2023-21 |
Tadanobu Kamijo (Ryukyudai), Naoki Nakajima (Kyushujohodai), Takeshi Aihara (Tamagawa Univ.) |
(67)
NC |
09:55-10:20 |
Analysis of nonequilibrium neural spiking activity using a state-space kinetic Ising model NC2023-22 IBISML2023-22 |
Ken Ishihara (Hokkaido Univ.), Hideaki Shimazaki (Kyoto Univ.) |
(68)
NC |
10:20-10:45 |
Solving the Traveling Salesman Problem Using Oscillator Interaction NC2023-23 IBISML2023-23 |
Tomoaki Kinugasa (Tohoku Univ), Futo Ono, Kazuhiro Sakamoto (TMPU) |
(69)
NC |
10:45-11:10 |
A Study on generating First-Person Video in moving daily space using variational auto encoders NC2023-24 IBISML2023-24 |
Xu Chenfei (Osaka Univ.), Okadome Yuya (TUS), Ishiguro Hiroshi (Osaka Univ.), Nakamura Yutaka (RIKEN) |
| Announcement for Speakers |
| General Talk | Each speech will have 20 minutes for presentation and 5 minutes for discussion. |
| Contact Address and Latest Schedule Information |
| NC |
Technical Committee on Neurocomputing (NC) [Latest Schedule]
|
| Contact Address |
Yoshimasa Tawatsuji（Waseda Univ.）
E- : y      ao    |
| IBISML |
Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) [Latest Schedule]
|
| Contact Address |
Atsuyoshi Nakamura (Hokkaido Unv.)
aist  i |
| IPSJ-MPS |
Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) [Latest Schedule]
|
| Contact Address |
|
| IPSJ-BIO |
Special Interest Group on Bioinformatics and Genomics (IPSJ-BIO) [Latest Schedule]
|
| Contact Address |
|
Last modified: 2023-06-15 10:09:33
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