Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models

In this work we analyse quantitatively the interplay between the loss landscape and performance of descent algorithms in a prototypical inference problem, the spiked matrix-tensor model. We study a loss function that is the negative log-likelihood of the model... (read more)

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