Groups
Category
Level
Expectation Maximization (EM) is an iterative algorithm to estimate parameters when some variables are hidden or unobserved.
A set is convex if every line segment between any two of its points lies entirely inside the set.
Expectation is the long-run average value of a random variable and acts like the balance point of its distribution.
The Evidence Lower Bound (ELBO) is a tractable lower bound on the log evidence log p(x) that enables learning and inference in latent variable models like VAEs.