Introduction
Bayesian Statistics
Monte Carlo Sampling
Variational Inference
Causal Inference
Computational Tricks
Functional Analysis
Sobolev Space
Reproducing Kernel Hilbert Space
Stein's Method
General Deep Learning
Information Bottleneck
Variational Autoencoder
Semi-supervised Learning
General Machine Learning
Exponential Family
Expectation-maximization
Probabilistic Graphic Models
Inequalities
Linear Methods
Lasso
Matrix and Related Numerical Analysis
Eigenvalue Inequalities
Norms
Power Iteration
Other Topics in Matrix Analysis
Miscellaneous Topics
Convex Analysis
Diebold-Mariano Test
Newey-West Estimator
Wald Test
Optimization Methods
Optimization Techniques
Stochastic Optimization
PCA and Clustering
Factor Analysis
Generalized PCA
Probabilistic PCA
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Probabilistic PCA
Probabilistic PCA
1.
PPCA
2.
Mixture of PPCA
3.
Factor Analysis and PPCA
Probabilistic PCA
1. PPCA
See below
Lecture notes of CS3750
Tipping and Bishop (1999).
Probabilistic principal component analysis
2. Mixture of PPCA
See below
Tipping and Bishop (1999).
Mixtures of probabilistic principal component analyzers
3. Factor Analysis and PPCA
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