8 citations · 12 across the 6 of their papers we have counts for
6 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…
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…
Defects of Convolutional Decoder Networks in Frequency Representation
Ling Tang, Wen Shen, Zhanpeng Zhou +2
In this paper, we prove the representation defects of a cascaded convolutional decoder network, considering the capacity of representing different frequency components of an input…
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…
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou, Wen Shen, Huixin Chen +2
In this paper, we prove the effects of the BN operation on the back-propagation of the first and second derivatives of the loss. When we do the Taylor series expansion of the loss…
Sketch-and-project methods for tensor linear systems
Ling Tang, Yajie Yu, Yanjun Zhang +1
For tensor linear systems with respect to the popular t-product, we first present the sketch-and-project method and its adaptive variants. Their Fourier domain versions are also in…