Tue, Mar 8 AM 10:00 - 11:45 |
(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) |
|
10:50-10:55 |
( 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.) |
Tue, Mar 8 PM 13:00 - 16:40 |
|
13:00-13:05 |
( 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) |
|
15:05-15:15 |
( 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.) |
|
16:35-16:40 |
( 5 min. ) |
Tue, Mar 8 PM Chair: Mahito Sugiyama 16:40 - 16:50 |
|
16:40-16:50 |
( 10 min. ) |
Wed, Mar 9 AM 09:00 - 12:25 |
|
09:00-09:05 |
( 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) |
|
10:50-11:00 |
( 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.) |
|
12:20-12:25 |
( 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 |
|
|
|
14:45-14:55 |
( 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) |