Worked Example: Simulate from a Gaussian Mixture
Worked Example: Logistic Regression
Worked Example: Simulate from a Multivariate Gaussian
Advanced Example: Simulate from a Bayesian Neural Network -- Storage Constraints
Added support for TensorFlow Probability.
Made loading TensorFlow distribution objects cleaner.
Added better support for sparse variables and minibatching parameters.
Added the ability to run algorithms step by step. This allows custom storage of parameters, useful when the full chain does not fit into memory!
Added new vignette to demonstrate step by step functionality – a Bayesian neural network model.
Changed optimizer to TensorFlow SGDOptimizer for control variate methods.