variational

Definition

Approximating an intractable probability distribution by picking the closest member of a simpler, tractable family — turning inference into an optimization problem that gradient descent can solve. This is what makes Bayesian machinery usable at scale, and it is the V in variational autoencoder and in variational inference generally. The trade is deliberate: you accept a bounded approximation error in exchange for computation that actually finishes.