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Classroom Contents
Poisson Random Fields for Dynamic Feature Models
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- 1 Introduction
- 2 Motivating Example
- 3 Poisson Random Field Development based on a population genetic model Sawyer and Hartl, 1992
- 4 Background: Indian Buffet Process
- 5 Background: Beta Process
- 6 The Wright-Fisher Model
- 7 The Wright-Fisher Diffusion
- 8 The Poisson Random Field
- 9 Poisson Random Field for Indian Buffet Processes
- 10 The WF-IBP model
- 11 MCMC inference
- 12 Simulated Data with Linear-Gaussian Observation Model
- 13 WF-IBP Topic Model
- 14 Comparing Dynamic vs Static Models (Simulated Data)
- 15 Comparing Dynamic vs Static Models (NIPS Data) Test-set perplexity
- 16 NIPS Topic Model
- 17 Concluding Remarks
- 18 References
