Google Research

Variational Prediction

AABI 2023 (2023)


The paper introduces a new method for attempting to learn variational approximations to Bayesian posterior predictive distributions that doesn’t require (1) the posterior predic- tive distribution itself, (2) the posterior distribution (3) exact samples from the posterior (4) or any test time marginalization.

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work