Geometric Aspects of Mathematical Optimization and Statistical Theories

Information

Date: December 16--17, 2025 (Japan Standard Time)
Venue: Academic Extension Center (Osaka Metropolitan University)
Contents: Workshop (Hybrid: physical/virtual)

Program

• December 16 (Tuesday)

13:00--13:50 Atsumi Ohara (Otemon Gakuin University)
Conformal Flattening on the Probability Simplex and Its Applications
14:00--14:50 Naomichi Nakajima (Shibaura Institute of Technology)
Information geometry of multiple roots in maximum likelihood estimation and singularity theory
15:00--15:50 Kaori Yamaguchi (Ritsumeikan University)
Characterization of δ-almost sufficient statistics via KL divergence
16:10--17:00 Akifumi Okuno (Institute of Statistical Mathematics)
Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network
17:10--18:00 Bruno F. Lorenço* (Institute of Statistical Mathematics)
Some recent results on the geometry of hyperbolicity cones

• December 17 (Wednesday)

10:00--10:50 Takaharu Yaguchi (Kobe University)
Symplectic Methods for Learning Hamiltonian Systems
11:00--11:50 Masaki Yoshioka (The University of Osaka)
Geometric bias correction of maximum likelihood estimators in one-sided truncated exponential families
13:30--14:20 Michiko Okudo (Chiba University)
Bayesian shrinkage prediction and estimation based on geometric structure
14:30--14:20 Hisatoshi Tanaka (Waseda University)
The second score equation and semiparametric efficiency in regression models
15:40--16:30 Bartosz Kołodziejek (Warsaw University of Technology)
A new class of colored Gaussian graphical models with explicit normalizing constants
16:40--17:30 Piotr Zwiernik* (Pompeu Fabra University)
Probabilistic PCA on tensors

*: Online Talk

Organizers

Contact: h-nakashima [at] tokai.ac.jp

Sponsor

This workshop is supported by the following institution and grant:

Last modified: November 20, 2025