RSVP for your your local TensorFlow Everywhere event today!

Module: tfp.experimental.vi

Experimental methods and objectives for variational inference.

Functions

build_asvi_surrogate_posterior(...): Builds a structured surrogate posterior inspired by conjugate updating.

build_factored_surrogate_posterior(...): Builds a joint variational posterior that factors over model variables. (deprecated arguments)

build_trainable_location_scale_distribution(...): Builds a variational distribution from a location-scale family.