Further Developments of Information Geometry

March 17 - 21, 2025

Thank you for attending!

News

Mar 17 - 21, 2025, The event finished successfully
Dec 3, 2024, Registration open (closed on Feb 28)
Aug 31, 2024, applications for presentations open
Aug 11, 2024, web page open

About the Conference

The birth of information geometry dates back to the mid-20th century. Starting with the discovery of dual connections inherent in families of probability distributions, it has led to a wide range of applications in science.

In light of the advancements in data science today, the significance of information geometry has once again been acknowledged. The purpose of this international conference is to facilitate the exchange of recent developments in information geometry and to establish its theoretical foundations across related fields. The development of information geometry will be explored through a series of invited lectures by leading researchers working in mathematics, machine learning, statistics and general natural sciences, as well as short talks and poster presentations.

The research meeting will be held from March 18 (Tue) to 21 (Fri), 2025, at Hongo Campus, The University of Tokyo, in Tokyo, Japan. There will be a tutorial course in Japanese on March 17 (Mon).

Application for Presentations

Application for presentations has been closed on Sep 30.

Registration

Registration for the research meeting has been closed on Feb 28. We have sent a confirmation email to all the registrants around March 2.

Program

The current program is as follows. See Programme for details.

program_o314.pdf

Confirmed Invited Speakers

Carlos Améndola, Technical University of Berlin

Nihat Ay, Hamburg University of Technology

Marco Cuturi, Apple and ENSAE

Akio Fujiwara, Osaka University

Sosuke Ito, The University of Tokyo

Tetsuya J. Kobayashi, The University of Tokyo

Fumiyasu Komaki, The University of Tokyo

Wuchen Li, University of South Carolina

Andrew McCormack, University of Alberta

Hans-Georg Müller, University of California, Davis

Klaus-Robert Müller, Technical University of Berlin

Hiroshi Nagaoka, University of Electro-Communications

Naomichi Nakajima, Shibaura Institute of Technology

Mahito Sugiyama, National Institute of Informatics

Geoffrey Wolfer, Waseda University

Ting-Kam Leonard Wong, University of Toronto

Presentations

See Abstracts for abstracts of all presentations.

Tutorial (in Japanese)

On Mar 17 (Mon), a tutorial course in Japanese will be held at the Institute of Statistical Mathematics, Tachikawa, Tokyo.

Details will be announced here.

Organizing Committee

Hideitsu Hino, The Institute of Statistical Mathematics

Shiro Ikeda, The Institute of Statistical Mathematics

Takeru Matsuda, The University of Tokyo and RIKEN

Hiroshi Matsuzoe, Nagoya Institute of Technology

Tomonari Sei, The University of Tokyo - chair

Local Organizing Committee

Masayuki Henmi, The Institute of Statistical Mathematics

Fumiyasu Komaki, The University of Tokyo

Michiko Okudo, The University of Tokyo

Keisuke Yano, The Institute of Statistical Mathematics

Advisory Committee

Akio Fujiwara, Osaka University

Noboru Murata, Waseda University

Important Dates

Aug 11, 2024: web page open
Sep 30, 2024: due date of application for a talk
Nov 30, 2024: decision on acceptance by this date
Dec 3, 2024: registration open
Jan 31, 2025: due date of registration for on-site participants (up to capacity of the venue)
Feb 28, 2025: due date of registration for online participants

Venue

Mar 17 (tutorial): The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan

Mar 18 - 21 (research meeting): Faculty of Engineering Bldg 2, Hongo campus, The University of Tokyo, Hongo, Tokyo, Japan

Organized by

The Institute of Statistical Mathematics

The University of Tokyo

Supported by

"Strategic Programs" grant from ROIS (Research Organization of Information and Systems)

The Institute of Statistical Mathematics

Grant-in-Aid for Scientific Research (A) JP22H00510 "Construction of Bayesian prediction theory based on infinite-dimensional statistical models and development of data analysis methods" (Principal Investigator: Fumiyasu Komaki)

Grant-in-Aid for Scientific Research (B) JP23K24909 "Analysis of transfer learning based on information geometry" (Principal Investigator: Hideitsu Hino)

Publication

Springer journal Information Geometry will publish a special issue for FDIG2025. All speakers and attendees are encouraged to submit their papers. The papers will be reviewed through the standard peer review process. Further details will be announced at a later date.

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