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Sharp minimax risks and phase transitions in sparse submatrix detection

Goswami, Subhajit et al.
arXiv (All) · Papers
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60f10probabilitystatistics-theory
In this paper, we study the minimax risk of detecting a sparse, elevated-mean Gaussian submatrix planted in a larger noisy matrix. When the planted submatrix has size $n\times n$ and the ambient matrix has size $N\times N$ with $N=n^{1+α}$, the seminal work of Butucea and Ingster (2013) identifies t
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