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From Weak to Strong Testing in Gaussian Models
We study the computational complexity of hypothesis testing in the spiked Wigner model, a prototypical model for detecting low-rank structure in a large random matrix. Below the "BBP" eigenvalue transition, it is expected that strong detection --- with both type I and II errors vanishing --- require
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