Information-Theoretic Limits for the Matrix Tensor Product

22 May 2020Galen Reeves

This paper studies a high-dimensional inference problem involving the matrix tensor product of random matrices. This problem generalizes a number of contemporary data science problems including the spiked matrix models used in sparse principal component analysis and covariance estimation... (read more)

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