Corpus ID: 90248431

Sparse Tensor Additive Regression

@article{Hao2019SparseTA,
  title={Sparse Tensor Additive Regression},
  author={Botao Hao and B. Wang and P. Wang and J. Zhang and Jian Yang and W. W. Sun},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.00479}
}
Tensors are becoming prevalent in modern applications such as medical imaging and digital marketing. In this paper, we propose a sparse tensor additive regression (STAR) that models a scalar response as a flexible nonparametric function of tensor covariates. The proposed model effectively exploits the sparse and low-rank structures in the tensor additive regression. We formulate the parameter estimation as a non-convex optimization problem, and propose an efficient penalized alternating… Expand
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