2 papers
math.NA2026
Online TT-ALS for Streaming Tensor Decomposition with Incremental Orthogonalization
Hiroki Takeda, Yuto Miyatake, Daisuke Furihata
Tensor Train (TT) decomposition is a powerful technique for analyzing high-dimensional data. Existing algorithms for computing TT decompositions can be categorized into two main ty…
math.OC2026
Accelerating SAV-based optimization via randomized low-rank Hessian approximation
Ryo Sagawa, Daisuke Furihata, Yuto Miyatake
We propose a new optimization method, the Nyström-enhanced relaxed scalar auxiliary variable method (N-RSAV), which incorporates curvature information into the RSAV framework to a…