Subsampled Pseudo-posteriors for Scalable Bayesian Moment-condition Inference
A new family of subsampled pseudo-posteriors is developed that replaces the full-data pseudo-posterior with an aggregate of mini-batch pseudo-posteriors and establishes finite-sample total variation bounds to the full-data pseudo-posterior, allowing discontinuous and intractable moment functions.