Tags
Mean-Field
ML Math Derivations (14): Variational Inference and Variational EM
A first-principles derivation of variational inference. From the ELBO identity and the mean-field assumption to the CAVI updates, variational EM, and the reparameterization trick that powers VAEs.
PDE and ML (3): Variational Principles and Optimization
Calculus of variations to Wasserstein gradient flow and the mean-field limit of neural networks.

