no code implementations • 17 Mar 2020 • Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng
In the first stage of division, we consider both sequential and parallel approaches for simplifying the task into a set of co-sparse unit-rank estimation (CURE) problems, and establish the statistical underpinnings of these commonly-adopted and yet poorly understood deflation methods.
2 code implementations • NeurIPS 2018 • Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
We propose a sparse and low-rank tensor regression model to relate a univariate outcome to a feature tensor, in which each unit-rank tensor from the CP decomposition of the coefficient tensor is assumed to be sparse.