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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Masashi Sugiyama (Univ. of Tokyo) Vice Chair: Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo)
Secretary: Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.)
Assistant: Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Tokyo Inst. of Tech.)

DATE:
Thu, Sep 15, 2022 09:30 - 15:55

PLACE:
Yagami Campus, Keio University(3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa 223-8522 Japan. 15-minute walk from Hiyoshi Station (Tokyu Toyoko Line, Meguro Line, or Yokohama Municipal Subway Green Line). https://www.keio.ac.jp/en/maps/yagami.html)

TOPICS:
Machine Learning, etc.

----------------------------------------
Thu, Sep 15 AM Mechanism Design and Effect Verification (09:30 - 11:15)
Chair: Sinya Suzumura (Yahoo)
----------------------------------------

(1) 09:30 - 09:35
Opening, Speaker Introduction
Sinya Suzumura (Yahoo Japan Corp.)

(2) 09:35 - 10:25
[Invited Talk]
Yusuke Narita (Yale Univ.)

(3) 10:25 - 11:15
[Invited Talk]
Kiyoshi Izumi (Tokyo Univ.)

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

----------------------------------------
Thu, Sep 15 AM Machine Learning 1 (11:20 - 12:10)
Chair: Fuyuki Ishikawa (NII)
----------------------------------------

(1) 11:20 - 11:45
Selection Bias Analysis in Online Advertising
Shinya Suzumura, Hitoshi Abe, Shumpei Okura (YJ)

(2) 11:45 - 12:10
A Roadmap for Intellectual Evolution
-- How to Correct Complex Concept --
Kumon Tokumaru (Researcher)

----- Break ( 60 min. ) -----

----------------------------------------
Thu, Sep 15 PM Machine Learning 2 (13:10 - 14:25)
Chair: Atsuyoshi Nakamura (Hokkaido U.)
----------------------------------------

(3) 13:10 - 13:35
A survey of technology that converts a live-action portrait of a person to match the style of a specific manga and outputs the image
Tadaharu Nakashima, Tsuyoshi Okita (Kyutech)

(4) 13:35 - 14:00
Conversion from live-action image of people to manga and anime styles
Mizuki Kawazu, Tsuyoshi Okita (Kyutech)

(5) 14:00 - 14:25
Interpretable Model Combining statements and DNN
Ryo Okuda, Yuya Yoshikawa (STAIR)

----- Break ( 15 min. ) -----

----------------------------------------
Thu, Sep 15 PM Machine Learning 3 (14:40 - 15:55)
Chair: Mahito Sugiyama (NII)
----------------------------------------

(6) 14:40 - 15:05
On Analysis of Generalization Error of Neural Networks
Jun'ichi Takeuchi (Kyushu Univ.), Noboru Murata (Waseda Univ.), Kazushi Mimura (Hiroshima City Univ.), Yoshinari Takeishi, Masazumi Iida (Kyushu Univ.), Hiroshi Nagaoka (Univ. of Electro Communication)

(7) 15:05 - 15:30
Improving Efficiency of Regularization Path Computation in Safe Pattern Pruning via Multiple Referential Solutions
Takumi Yoshida (Nitech), Hiroyuki Hanada (RIKEN), Kazuya Nakagawa, Shinya Suzumura, Onur Boyar, Kazuki Iwata (Nitech), Shun Shimura, Yuji Tanaka (NaogyaU), Masayuki Karasuyama (Nitech), Kouichi Taji (NaogyaU), Koji Tsuda (UTokyo/RIKEN), Ichiro Takeuchi (NaogyaU/RIKEN)

(8) 15:30 - 15:55
An Genenalized LiNGAM when confunder is present
-- A formulation of ICA and the minimum shortest problem --
Joe Suzuki, Tianle Yang (Osaka U.)

# 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:

Sun, Nov 20, 2022 - Wed, Nov 23, 2022: Epochal Tsukuba International Congress Center [Thu, Oct 20], Topics: The 25th Information-Based Induction Sciences Workshop (IBIS2022)
Thu, Dec 22, 2022 - Fri, Dec 23, 2022: Kyoto University [Fri, Oct 28], Topics: Machine Learning, etc.

# SECRETARY:
Atsuyoshi Nakamura (Hokkaido Univ.)
E-mail: aisti


Last modified: 2022-09-14 17:08:22


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