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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Ichiro Takeuchi (Nagoya Inst. of Tech.) Vice Chair: Masashi Sugiyama (Univ. of Tokyo)
Secretary: Koji Tsuda (Univ. of Tokyo), Toshihiro Kamishima (AIST)
Assistant: Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.)
DATE:
Mon, Jan 17, 2022 10:00 - 15:05
Tue, Jan 18, 2022 09:00 - 15:40
PLACE:
TOPICS:
Machine Learning, etc.
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Mon, Jan 17 AM Machine Learning 1 (10:00 - 11:40)
Chair: Ichiro Takeuchi
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(1) 10:00 - 10:20
Information Geometrically Generalized Covariate Shift Adaptation
Masanari Kimura (SOKENDAI), Hideitsu Hino (ISM/RIKEN)
(2) 10:20 - 10:40
Constrained Bayesian Optimization through Optimal-value Entropy
Shion Takeno, Tomoyuki Tamura (NIT), Kazuki Shitara (Osaka Univ./JFCC), Masayuki Karasuyama (NIT)
(3) 10:40 - 11:00
Automatic Makeup Transfer with GANs and Its Quantitative Evaluation
Cuilin Wang, Jun'ichi Takeuchi (Kyushu Univ.)
(4) 11:00 - 11:20
Cluster approximation in quantum Boltzmann machine based on information geometry
Masaya Hoshikawa, Tomohiro Ogawa (UEC)
(5) 11:20 - 11:40
CAMRI Loss: Class-wise Additive Angular Margin Loss for Improving Recall of a Specific Class
Daiki Nishiyama (Univ. Tsukuba), Fukuchi Kazuto, Yohei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN)
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Mon, Jan 17 PM (13:00 - 15:05)
Chair: Kohei Hatano
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----- ( 5 min. ) -----
(6) 13:05 - 13:45
[Invited Talk]
TBA
Yuichi Kawamoto (Tohoku Univ.), Takahiro Ohyama (PSNRD)
(7) 13:45 - 14:25
[Invited Talk]
Factor Analysis of Communication Quality through Machine Learning and Wireless LAN Sensing
Koji Yamamoto (Kyoto Univ.)
(8) 14:25 - 15:05
[Invited Talk]
Online Learning Based Solutions for B5G/6G Communication Systems
Sherief Hashima (RIKEN)
----- ( 5 min. ) -----
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Tue, Jan 18 AM (09:00 - 12:00)
Chair: Ichiro Takeuchi
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----- ( 5 min. ) -----
(9) 09:05 - 09:45
[Tutorial Lecture]
Introduction to Selective Inference
Ichiro Takeuchi (Nitech/RIKEN)
(10) 09:45 - 10:25
[Invited Talk]
TBA
Shigeyuki Matsui (Nagoya Univ.)
----- ( 10 min. ) -----
(11) 10:35 - 11:15
[Invited Talk]
TBA
Atsushi Kawaguchi (Saga Univ.)
(12) 11:15 - 11:55
[Invited Talk]
TBA
Jun Sakuma (Tsukuba Univ./RIKEN)
----- Break ( 5 min. ) -----
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Tue, Jan 18 PM Machine Learning 2 (13:00 - 14:20)
Chair: Hideitsu Hino
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(13) 13:00 - 13:20
Local Explanation of Graph Neural Network through Predictive Graph Mining
Hinata Asahi, Masayuki Karasuyama (NIT)
(14) 13:20 - 13:40
(See Japanese page.)
(15) 13:40 - 14:00
More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis
Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech)
(16) 14:00 - 14:20
Robustness to Adversarial Examples by Mixtures of L1 Regularazation Models
Hironobu Takenouchi, Junichi Takeuchi (Kyushu Univ.)
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Tue, Jan 18 PM Machine Learning 3 (14:40 - 15:40)
Chair: Jun Sakuma
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(17) 14:40 - 15:00
Domain Adaptation with Optimal Transport for Extended Variable Space
Toshimitsu Atiake (ISM), Hideitsu Hino (ISM/RIKEN)
(18) 15:00 - 15:20
Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search
Rintaro Yamada, Shion Takeno, Masayuki Karasuyama (NIT)
(19) 15:20 - 15:40
Determining the number of clusters using the shrinking maximum likelihood self-organizing map
Ryosuke Motegi, Yoichi Seki (Gunma Univ.)
# Information for speakers
General Talk will have 15 minutes for presentation and 5 minutes for discussion.
=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:
Tue, Mar 8, 2022 - Wed, Mar 9, 2022 (tentative): Online [Thu, Jan 20], Topics: Machine Learning, etc.
Last modified: 2022-01-13 19:51:13
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