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I am a researcher at the RIKEN (AIP), Continuous Optimization Team, and a member of the Mathematical Informatics 5th lab at the University of Tokyo.
My research focuses on mathematical optimization, randomized subspace methods, random projections, robust optimization, and large-scale nonconvex optimization, with applications in machine learning, networks, and energy systems.
NEWS :
One paper was accepted in Mathematics of Operations Research: "Randomized subspace gradient method for constrained optimization", with R. Nozawa and A. Takeda.
One new preprint with S. Pokutta and A. Takeda are available: "Random-Subspace Frank-Wolfe over Strongly Convex Sets"
Two new preprints with G. Omiya and A. Takeda are available: “Randomized Subspace Nesterov Accelerated Gradient” and “Convergence Analysis of Randomized Subspace Normalized SGD under Heavy-Tailed Noise.”
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