1 code implementation • NeurIPS 2018 • Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
Unfortunately, many popular large-scale Bayesian models, such as network or topic models, require inference on sparse simplex spaces.
1 code implementation • 2 Oct 2017 • Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
To do this, the package uses the software library TensorFlow, which has a variety of statistical distributions and mathematical operations as standard, meaning a wide class of models can be built using this framework.
1 code implementation • 16 Jun 2017 • Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
These methods use a noisy estimate of the gradient of the log posterior, which reduces the per iteration computational cost of the algorithm.