Tensor PCA
PulseAugur coverage of Tensor PCA — every cluster mentioning Tensor PCA across labs, papers, and developer communities, ranked by signal.
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Markov Chains Achieve Tensor PCA Algorithmic Threshold
Researchers have demonstrated that Averaged Annealed Markov Chains can achieve the algorithmic threshold for Tensor PCA, a problem involving recovering an unknown vector from noisy observations of its tensor power. Prev…
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New Multiscale Single-Index Model for Hierarchical Feature Learning
Researchers have introduced the Multiscale Single-Index Model (MSIM), a stylized framework designed to study hierarchical feature learning with scale separation. This model analyzes how deep architectures learn represen…
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New bounds for random fields applied to Tensor PCA and spin models
Researchers have developed new non-asymptotic tail bounds for the Kostlan--Shub--Smale (KSS) random field on the sphere. These bounds are applied to problems in Spiked Tensor PCA and the complexity of the spherical $k$-…