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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:
Tue, Mar 8, 2022 10:00 - 16:50
Wed, Mar 9, 2022 09:00 - 15:45

PLACE:


TOPICS:
Machine Learning, etc.

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Tue, Mar 8 AM (10:00 - 11:45)
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(1) 10:00 - 10:25
Estimating average causal effect of intervention in continuous variables using machine learning
Yoshiaki Kitazawa (MSI)

(2) 10:25 - 10:50
Robust computation of optimal transport by β-potential regularization
Shintaro Nakamura (Univ. Tokyo), Han Bao (Univ.Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. Tokyo)

----- ( 5 min. ) -----

(3) 10:55 - 11:20
Real log canonical threshold of reduced rank regression when inputs are on a low dimensional hyperplane
Joe Hirose, Sumio Watanabe (Tokyo Tech)

(4) 11:20 - 11:45
Tree-Structured Generative Model with Latent Variables and Approximate Variational Bayesian Inference
Naoki Ichijo, Yuta Nakahara (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.)

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Tue, Mar 8 PM (13:00 - 16:40)
----------------------------------------

----- ( 5 min. ) -----

(1) 13:05 - 13:45
[Invited Talk]
---
Takashi Matsubara (Osaka Univ.)

(2) 13:45 - 14:25
[Invited Talk]
---
Saku Sugawara (NII)

(3) 14:25 - 15:05
[Invited Talk]
---
Yuichi Yoshida (NII)

----- ( 10 min. ) -----

(4) 15:15 - 15:55
[Invited Talk]
Distributed AI for Dynamic and Diverse Environments
Shinya Takamaeda (Tokyo Univ.)

(5) 15:55 - 16:35
[Invited Talk]
---
Masaaki Imaizumi (Tokyo Univ.)

----- ( 5 min. ) -----

----------------------------------------
Tue, Mar 8 PM (16:40 - 16:50)
Chair: Mahito Sugiyama
----------------------------------------

----- ( 10 min. ) -----

----------------------------------------
Wed, Mar 9 AM (09:00 - 12:25)
----------------------------------------

----- ( 5 min. ) -----

(6) 09:05 - 09:40
[Invited Talk]
---
Koji Fukagata (Keio Univ.)

(7) 09:40 - 10:15
[Invited Talk]
---
Satoru Tokuda (Kyushu Univ.)

(8) 10:15 - 10:50
[Invited Talk]
---
Takahiro Tsukahara (Tokyo University of Science)

----- ( 10 min. ) -----

(9) 11:00 - 11:35
[Invited Talk]
---
Yoshinobu Kawahara (Kyushu Univ.)

(10) 11:35 - 12:10
[Invited Talk]
---
Masanobu Horie (RICOS Co. Ltd.)

(11) 12:10 - 12:20
[Invited Talk]
---
Susumu Goto (Osaka Univ.)

----- ( 5 min. ) -----

----------------------------------------
Wed, Mar 9 PM (13:30 - 15:45)
----------------------------------------

(12) 13:30 - 13:55
Is the Performance of My Deep Network Too Good to Be True?
-- A Direct Approach to Estimating the Bayes Error in Binary Classification --
Takashi Ishida (UTokyo), Ikko Yamane (Université Paris Dauphine-PSL/RIKEN), Nontawat Charoenphakdee (UTokyo), Gang Niu (RIKEN), Masashi Sugiyama (RIKEN/UTokyo)

(13) 13:55 - 14:20
Learning coefficients of deep linear neural networks
Ryuji Ito, Miki Aoyagi, Seikai Ashizawa, Yuki Tsukamoto (Nihon Univ.), Daisuke Kaji (Denso)

(14) 14:20 - 14:45
(See Japanese page.)

----- ( 10 min. ) -----

(15) 14:55 - 15:20
Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields
Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM)

(16) 15:20 - 15:45
Classification of Hematoma Markers
Tsuyoshi Okita, Hokuto Hirano, Kanta Moriyama (Kyutech), Koichi Arimura, Nobutaka Mukae (Kyudai), Koji Iihara (Kokujyun)

# Information for speakers
General Talk will have 20 minutes for presentation and 5 minutes for discussion.


=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:

Mon, Jun 27, 2022 - Wed, Jun 29, 2022: [Tue, May 10]


Last modified: 2022-02-25 18:32:00


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