Boosted Sparse and Low-Rank Tensor Regression

Lifang He, Kun Chen, Wanwan Xu +2

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 coeffic…