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Learning Overcomplete Latent Variable Models Through Tensor Power Method Information Guide

  1. Background on Learning Overcomplete Latent Variable Models Through Tensor Power Method
  2. Core Information
  3. History
  4. Full Guide
  5. Summary

Background on Learning Overcomplete Latent Variable Models Through Tensor Power Method

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Verified Tensor Methods for Learning Latent Variable Models: Theory and Practice Creator Profile
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History

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Archive: Learning Latent Variable Models: Overlapping Community and Overcomplete Models
Archive: Learning Latent Variable Models: Overlapping Community and Overcomplete Models
Tensor Decompositions for Learning Latent Variable Models II
Tensor Decompositions for Learning Latent Variable Models II
Discovery of Latent Factors in High-dimensional Data via Tensor Decomposition
Discovery of Latent Factors in High-dimensional Data via Tensor Decomposition
Tensor Decompositions for Learning Hidden Variable Models
Tensor Decompositions for Learning Hidden Variable Models
Sum-Of-Squares Algorithms For Over-Complete Tensor Decomposition
Sum-Of-Squares Algorithms For Over-Complete Tensor Decomposition
Tensor Decompositions: Uniqueness and Smoothed Analysis
Tensor Decompositions: Uniqueness and Smoothed Analysis
Noémie Jaquier - Riemannian Latent Variable Models Part 1
Noémie Jaquier - Riemannian Latent Variable Models Part 1
Furong Huang: Understanding, Interpreting & Designing NN Models Through Tensor Representations
Furong Huang: Understanding, Interpreting & Designing NN Models Through Tensor Representations
Understanding Latent Variables in 4 min
Understanding Latent Variables in 4 min
Spectral Algorithms for Learning Latent Variable Models
Spectral Algorithms for Learning Latent Variable Models
Anima Anandkumar (UCI): Tensor Methods for Large-Scale Machine Learning
Anima Anandkumar (UCI): Tensor Methods for Large-Scale Machine Learning

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Last Updated: August 17, 2026

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