Boosted Sparse and Low-Rank Tensor Regression
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
–Neural Information Processing Systems
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.
Neural Information Processing Systems
Nov-20-2025, 18:13:16 GMT
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