Variational Inference in Generative Models
Published:
Variational Inference (VI) first starts as a handy tool in Bayesian inference to approximate intractable posterior. Now, its usage goes beyond Bayesian inference, and we can see VI everywhere in classic learning, and deep learning-anywhere needs an approximation. After this lecture, we should:
- Understand the fundamentals of VI (why “variational” here?)
- See how models use VI (from Topic to Diffusion)
- Use VI for your problem
Part I: Non-deep VI
1. Introduction
2. General_Formulation
3. Classical VI
4. Topic Model
Part II: Deep VI
TBU