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HomeMachine LearningVariational Inference

Variational Inference

Volume II, Chapter 5 — Part II. From intractable Bayesian posteriors to tractable optimization: ELBO derivation, KL gap, mean-field approximation, CAVI, reparameterization gradients, amortized inference, and the theoretical foundation of VAEs.

Advanced

Prerequisites

  • Bayesian Linear Regression
  • Kl Divergence
  • Multivariate Gaussian

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