Naoki Yoshida

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

Papers

Naoki Yoshida, Shogo Nakakita, Masaaki 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
Naoki Yoshida, Sumio 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

Naoki Yoshida, Shogo Nakakita, Masaaki 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

Naoki Yoshida, Isao Ishikawa, Masaaki Imaizumi, "Zero Generalization Error Theorem for Random Interpolators via Algebraic Geometry", arXiv preprint arXiv:2512.06347, 2025. paper
Naoki Yoshida, Satoshi Hayakawa, Yuhta Takida, Toshimitsu Uesaka, Hiromi Wakaki, Yuki Mitsufuji, "Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity", arXiv preprint arXiv:2510.15508, 2025. paper

PhD: The University of Tokyo, Graduate School of Arts and Sciences, 2024/04-present

Master (Science): Tokyo Institute of Technology, School of Computing, 2022/04-2024/03

Bachelor (Engineering): The University of Tokyo, Faculty of Engineering, 2017/04-2022/03

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