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All publications by Matthew Johnson
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Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
Scott Linderman, Matthew Johnson and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


Stochastic Variational Inference for Bayesian Time Series Models
Matthew Johnson and Alan Willsky
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Analyzing Hogwild Parallel Gaussian Gibbs Sampling
Matthew Johnson, James Saunderson and Alan Willsky
Advances in Neural Information Processing Systems 26, 2013