Variational Inference in Generative Models

less than 1 minute read

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

Part II: Deep VI

TBU