Scaling Nonparametric Bayesian Inference via Subsample-Annealing

no code implementations • 22 Feb 2014 • Fritz Obermeyer, Jonathan Glidden, Eric Jonas

This new algorithm learns nonparametric latent structure over a growing and constantly churning subsample of training data, where the portion of data subsampled can be interpreted as the inverse temperature beta(t) in an annealing schedule.

Bayesian Inference Clustering +1