Completed
Intro
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Classroom Contents
The Kikuchi Hierarchy and Tensor PCA
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- 1 Intro
- 2 High-Dimensional Statistics
- 3 Statistical Physics of Inference
- 4 Sum of Squares (Sos) Hierarchy
- 5 Tensor PCA (Principal Component Analysis)
- 6 Algorithms for Tensor PCA
- 7 Subexponential Time Algorithms
- 8 Aside Low Degree Likelihood Ratio
- 9 Our Contributions
- 10 The Algorithm
- 11 Intuition for Symmetric Difference Matric
- 12 Related Work
- 13 Summary
