Eigenvectors of Orthogonally Decomposable Functions

DOI10.1137/17M1122013zbMath1475.15007arXiv1411.1420OpenAlexW2586729898WikidataQ129909370 ScholiaQ129909370MaRDI QIDQ4641586

James E. Voss, Mikhail Belkin, Luis Rademacher

Publication date: 18 May 2018

Published in: SIAM Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1411.1420

zbMATH Keywords

nonconvex optimizationdiscrete dynamical systemgeneralized eigenvectorgradient iteration

Mathematics Subject Classification ID

Eigenvalues, singular values, and eigenvectors (15A18) Stability and convergence of numerical methods for ordinary differential equations (65L20) Dynamical systems in optimization and economics (37N40) Quadratic and bilinear forms, inner products (15A63)

Related Items (2)

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Uses Software

• FastICA

Cites Work

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• Regularity and complexity in dynamical systems
• Linear and nonlinear programming.
• Learning a parallelepiped: Cryptanalysis of GGH and NTRU signatures
• Independent component analysis by general nonlinear Hebbian-like learning rules
• Independent component analysis, a new concept?
• Adaptive blind separation of independent sources: A deflation approach
• Adaptive estimation of a quadratic functional by model selection.
• A spectral algorithm for latent Dirichlet allocation
• Provable ICA with unknown Gaussian noise, and implications for Gaussian mixtures and autoencoders
• Eigenvalues of a real supersymmetric tensor
• Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT)
• Learning mixtures of spherical gaussians
• Fourier PCA and robust tensor decomposition
• The Rotation of Eigenvectors by a Perturbation. III

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