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Research map / Learning theory and algorithms / Matrix and tensor methods

Landscape analysis of an improved power method for tensor decomposition

NeurIPS 2021 · Learning theory and algorithms › Matrix and tensor methods · approach: Randomized tensor decomposition algorithms · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the SPM objective instead of the usual power-method objectiveSymmetric tensor component recovery · Synthetic noiseless tensorsdistance to nearest tensor componentHelped
Use the SPM objective instead of the usual power-method objectiveSymmetric tensor component recovery · Synthetic noisy tensorsrecovery errorHelped
Combine SPM with the modified deflation procedureComplete symmetric tensor decomposition · Synthetic noisy tensorscomponent recovery errorHelped
Use noisy recovered components in successive deflation stepsSPM with modified deflation · Synthetic noisy tensorserror propagationNo clear effect

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