6 citations · 18 across the 17 of their papers we have counts for
19 papers
Subsampling for tensor least squares: Optimization and statistical perspectives
Ling Tang, Hanyu Li
In this paper, we investigate the random subsampling method for tensor least squares problem with respect to the popular t-product. From the optimization perspective, we present th…
Randomized block subsampling Kaczmarz-Motzkin method
Yanjun Zhang, Hanyu Li
By introducing a subsampling strategy, we propose a randomized block Kaczmarz-Motzkin method for solving linear systems. Such strategy not only determines the block size, but also…
Practical Alternating Least Squares for Tensor Ring Decomposition
Yajie Yu, Hanyu Li
Tensor ring (TR) decomposition has been widely applied as an effective approach in a variety of applications to discover the hidden low-rank patterns in multidimensional data. A we…
On sketch-and-project methods for solving tensor equations
Ling Tang, Yanjun Zhang, Hanyu Li
We first propose the regular sketch-and-project method for solving tensor equations with respect to the popular t-product. Then, three adaptive sampling strategies and three corres…
Greedy capped nonlinear Kaczmarz methods
Yanjun Zhang, Hanyu Li
To solve nonlinear problems, we construct two kinds of greedy capped nonlinear Kaczmarz methods by setting a capped threshold and introducing an effective probability criterion for…
Greedy randomized sampling nonlinear Kaczmarz methods
Yanjun Zhang, Hanyu Li, Ling Tang
The nonlinear Kaczmarz method was recently proposed to solve the system of nonlinear equations. In this paper, we first discuss two greedy selection rules, i.e., the maximum residu…