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All publications by Matt Hoffman
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A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis and Matt Hoffman
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon Mcauliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel and Mr Prabhat
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Sparse stochastic inference for latent Dirichlet allocation
Matt Hoffman, David M. Blei and David M. Mimno
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Nonparametric variational inference
Samuel Gershman, Matt Hoffman and David M. Blei
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012