Research

I am an Assistant Professor in Graduate School of Information Science and Technology at The University of Tokyo, working in Mathematical Informatics 5th Lab led by Prof. Akiko Takeda. I received my M.Sc. from Tokyo Institute of Technology in 2020 (supervisor: Prof. Mituhiro Fukuda), and my Ph.D. from SOKENDAI in 2023 (supervisor: Prof. Mirai Tanaka).

My research interests include optimization and its algorithms. I am also interested in its applications.
Keywords: Nonconvex Optimization, First-Order Methods, Bregman Divergence, Signal Processing

Contact

Faculty of Engineering Bldg.14-529, Hongo Campus, The University of Tokyo

News

Our paper "Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence" is accepted to Journal of Optimization Theory and Applications.
I gave a talk at ICCOPT 2025.
Our paper "Fast Frank–Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions" is submitted to arXiv.
Our paper "Approximate Bregman proximal gradient algorithm for relatively smooth nonconvex optimization" is accepted to Computational Optimization and Applications.
I'll give a talk at ISMP 2024.
Our paper "Majorization-minimization Bregman proximal gradient algorithms for nonnegative matrix factorization with the Kullback--Leibler divergence" is submitted to arXiv.
Our paper "Approximate Bregman proximal gradient algorithm for relatively smooth nonconvex optimization" is submitted to arXiv.
I start as an Assistant Professor at The Univeristy of Tokyo