2019
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
ICML 2019oral
Increasingly complex datasets pose a number of challenges for Bayesian inference. Conventional posterior sampling based on Markov chain Monte Carlo can be too computationally intensive, is serial in nature and mixes poorly between posterior modes. Furthermore, all models are misspecified, which brin…