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Variational Inference
- 1. Part 2: Scalable Approximate Inference
Session 1:
- Variational Inference
Session 2:
- Sampling methods
Approximate and Scalable Inference for Complex
Probabilistic Models in Recommender Systems
- 8. KL and ELBO
Choose family of variational distributions such that the
expectations of log(q(z)) and log(p(x,z)) are
computable