Author

Akiko Takeda

h-index 2 View on Semantic Scholar

We have 2 of 9 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Accelerated Proximal Gradient Method for Non-Strongly Convex Time-Varying Optimization

This paper studies time-varying composite optimization problems with convex but not necessarily strongly convex objective functions, on compact domains and with bounded temporal variability. As a baseline, we first analyze the time-varying proximal gradient (TV-PG) method. We show that its asymptotic function value gap...

Tomoya Kamijima, Naoki Marumo, Akiko Takeda · 0 citations

Preprint Jul 2026

Parameter-Free Cubic-Regularized Newton Method: Sharp Complexity and Generalized Smoothness

A variant of the cubic-regularized Newton method for nonconvex optimization that is parameter-free in that it requires no prior knowledge of problem-dependent parameters is analyzed, and an oracle complexity bound is derived for finding an $(varepsilon, \delta)-second-order stationary point.

Shaoying Fang, Naoki Marumo, Akiko Takeda · 1 citation