15 citations · 15 across the 1 of their papers we have counts for
2 papers
stat.ML2016
Patterns of Scalable Bayesian Inference
Elaine Angelino, Matthew James Johnson, Ryan P. Adams
Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an excellent fit for this demand,…
stat.ML2015★ 15 cited
Variational consensus Monte Carlo
Maxim Rabinovich, Elaine Angelino, Michael I. Jordan
Practitioners of Bayesian statistics have long depended on Markov chain Monte Carlo (MCMC) to obtain samples from intractable posterior distributions. Unfortunately, MCMC algorithm…