I'm Naoki Yoshida, a PhD student in machine learning.
My research topic is theoretical analysis of deep learning.
Affiliation: The University of Tokyo, Graduate School of Arts and Sciences, Department of Multidisciplinary Sciences
Email: naokioasis0508@gmail.com
N.Yoshida, S.Nakakita, M.Imaizumi, "Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution", Transactions on Machine Learning Research, 2025. paper movie code
N.Yoshida, S.Watanabe, "Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference", International Symposium on Stochastic Systems Theory and Its Applications, 2023. paper
N.Yoshida, S.Nakakita, M.Imaizumi, "Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution", ICML Workshop on High-dimensional Learning Dynamics (HiLD), Vienna (Austria), 2024/07. paper
PhD: The University of Tokyo, Graduate School of Arts and Sciences, 2024/04-present
Supervisor: Masaaki Imaizumi
Master (Science): Tokyo Institute of Technology, School of Computing, 2022/04-2024/03
Supervisor: Sumio Watanabe
Bachelor (Engineering): The University of Tokyo, Faculty of Engineering, 2017/04-2022/03
JSPS Doctoral Course Research Fellowships (DC2), 2025/04-present
JST SPRING GX, 2024/04-2025/03
Research internship in Sony Group Corporation, 2025/05-2025/10
Machine learning engineer (internship) in Aces, 2022/04-2024/03
Data scientist (internship) in Matsuo Institute, 2022/04-2024/03