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Intro
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Classroom Contents
Blessings of Dimensionality for Gaussian Latent Factor Models
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- 1 Intro
- 2 dimensionality as an enemy
- 3 collaborators who do real problems
- 4 reducing dimensionality
- 5 making reasonable assumptions
- 6 notation
- 7 mutual information
- 8 graphical models
- 9 characterizations
- 10 models
- 11 information theory
- 12 Blessings of dimensionality
- 13 Empirical results
- 14 Latent remodeling
- 15 Normal approach
- 16 Global optimization
- 17 Conditional independence
- 18 generative model link perspective
- 19 Independence of disease
- 20 Unconstrained optimization
- 21 Cluster structure recovery
- 22 Covariance estimation
- 23 Neuroscience
- 24 Data set
- 25 Brain pictures
- 26 Factor analysis
- 27 Cluster recovery
- 28 Improving reproducibility
- 29 unsupervised dimensionality reduction
- 30 Cohens D
- 31 PCA
- 32 ICA
