Keiya Sakabe’s Homepage

Last updated: Nov. 5, 2024
[日本語]

Keiya Sakabe

Master’s Student at Mathematical Informatics 3rd Laboratory, Graduate School of Information Science and Technology, The University of Tokyo, Japan

Supervisor: Takayasu Matsuo

Email: ksakabe (at) g.ecc.u-tokyo.ac.jp

Education

Thesis

Bachelor’s Thesis: 非有界な凸関数に対する最急降下法と行列スケーリングへの応用 (Gradient Descent for Unbounded Convex Functions and Its Application to Matrix Scaling)
Supervised by Hiroshi Hirai
In Japanese

Publications

Talks in English

Teaching Assistant

Awards

Competitions

Others