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Classroom Contents
Scaling Up Bayesian Inference for Big and Complex Data
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- 1 Intro
- 2 Machine Learning vs Deep Learning
- 3 Mixing Mixing Rate Problems
- 4 MCMC Games
- 5 Given Time
- 6 Big N Problems
- 7 Subsets
- 8 Stochastic approximation
- 9 Sparse linear program
- 10 Theoretical guarantees
- 11 Biometrika
- 12 MCMC
- 13 Logistic Regression
- 14 Gaussian Process Models
- 15 Popular Algorithms
- 16 Why Algorithms Fail
- 17 Are You Changing the Way
