64 citations · 149 across the 12 of their papers we have counts for
6 papers · 1 filter
Hybrid Kronecker Product Decomposition and Approximation
Chencheng Cai, Rong Chen, Han Xiao
Discovering the underlying low dimensional structure of high dimensional data has attracted a significant amount of researches recently and has shown to have a wide range of applic…
KoPA: Automated Kronecker Product Approximation
Chencheng Cai, Rong Chen, Han Xiao
We consider the problem of matrix approximation and denoising induced by the Kronecker product decomposition. Specifically, we propose to approximate a given matrix by the sum of a…
Matrix Completion using Kronecker Product Approximation
Chencheng Cai, Rong Chen, Han Xiao
A matrix completion problem is to recover the missing entries in a partially observed matrix. Most of the existing matrix completion methods assume a low rank structure of the unde…
Individualized Group Learning
Chencheng Cai, Rong Chen, Min-ge Xie
Many massive data are assembled through collections of information of a large number of individuals in a population. The analysis of such data, especially in the aspect of individu…
Factor Models for High-Dimensional Tensor Time Series
Rong Chen, Dan Yang, Cun-hui Zhang
Large tensor (multi-dimensional array) data are now routinely collected in a wide range of applications, due to modern data collection capabilities. Often such observations are tak…
Modeling Dynamic Transport Network with Matrix Factor Models: with an Application to International Trade Flow
Elynn Y. Chen, Rong Chen
International trade research plays an important role to inform trade policy and shed light on wider issues relating to poverty, development, migration, productivity, and economy. W…