[PDF][PDF] What do we need from a probabilistic programming language to support Bayesian workflow
B Carpenter - International Conference on …, 2021 - statmodeling.stat.columbia.edu
BOB CARPENTER, Flatiron Institute, New York City This talk is a survey of the model
building and inference steps required for a probabilistic programming language to support a …
building and inference steps required for a probabilistic programming language to support a …
Methods and applications in large-scale variational inference
R Liu - 2021 - escholarship.org
This dissertation can be viewed as a collection of case studies in applying variational
inferenceto analyze large data problems. The largest, most computationally difficult data …
inferenceto analyze large data problems. The largest, most computationally difficult data …