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Dive into the research topics where Dustin Tran is active.

Publication


Featured researches published by Dustin Tran.


international conference on machine learning | 2016

Hierarchical variational models

Rajesh Ranganath; Dustin Tran; David M. Blei


Journal of Machine Learning Research | 2017

Automatic differentiation variational inference

Alp Kucukelbir; Dustin Tran; Rajesh Ranganath; Andrew Gelman; David M. Blei


arXiv: Computation | 2016

Edward: A library for probabilistic modeling, inference, and criticism.

Dustin Tran; Alp Kucukelbir; Adji B. Dieng; Maja R. Rudolph; Dawen Liang; David M. Blei


neural information processing systems | 2016

Operator Variational Inference

Rajesh Ranganath; Dustin Tran; Jaan Altosaar; David M. Blei


neural information processing systems | 2017

Hierarchical Implicit Models and Likelihood-Free Variational Inference

Dustin Tran; Rajesh Ranganath; David M. Blei


international conference on learning representations | 2016

Variational Gaussian Process

Dustin Tran; Rajesh Ranganath; David M. Blei


arXiv: Machine Learning | 2015

The Variational Gaussian Process

Dustin Tran; Rajesh Ranganath; David M. Blei


neural information processing systems | 2015

Copula variational inference

Dustin Tran; David M. Blei; Edoardo M. Airoldi


international conference on learning representations | 2017

Deep Probabilistic Programming

Dustin Tran; Matthew D. Hoffman; Rif A. Saurous; Eugene Brevdo; Kevin P. Murphy; David M. Blei


arXiv: Machine Learning | 2017

Deep and Hierarchical Implicit Models.

Dustin Tran; Rajesh Ranganath; David M. Blei

Collaboration


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Daniel Lee

Massachusetts Institute of Technology

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