Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models

We strengthen previous results for variational algorithms by showing that they are competitive with any point-estimate predictor. Unlike previous work, we provide bounds on the risk of the Bayesian predictor and not just the risk of the Gibbs predictor for the same approximate posterior.