Corpus ID: 14075583

Tensor Factorization via Matrix Factorization

@article{Kuleshov2015TensorFV,
  title={Tensor Factorization via Matrix Factorization},
  author={Volodymyr Kuleshov and A. Chaganty and Percy Liang},
  journal={ArXiv},
  year={2015},
  volume={abs/1501.07320}
}
Tensor factorization arises in many machine learning applications, such knowledge base modeling and parameter estimation in latent variable models. However, numerical methods for tensor factorization have not reached the level of maturity of matrix factorization methods. In this paper, we propose a new method for CP tensor factorization that uses random projections to reduce the problem to simultaneous matrix diagonalization. Our method is conceptually simple and also applies to non-orthogonal… Expand
60 Citations

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