NEWS.md

In STOR-i/sgmcmc: Stochastic Gradient Markov Chain Monte Carlo

sgmcmc 0.2.4

• Bug fixes

sgmcmc 0.2.3

• Added support for TensorFlow Probability.

sgmcmc 0.2.2

• Made loading TensorFlow distribution objects cleaner.

sgmcmc 0.2.1

• Added better support for sparse variables and minibatching parameters.

sgmcmc 0.2.0

• 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.

sgmcmc 0.1.0

• Initial release.

STOR-i/sgmcmc documentation built on Nov. 11, 2020, 6:32 p.m.