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Dustin Tran

Columbia University

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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

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Collaboration

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David M. Blei

Columbia University

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Rajesh Ranganath

New York University

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Alp Kucukelbir

Columbia University

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Daniel Lee

Massachusetts Institute of Technology

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Edoardo M. Airoldi

Harvard University

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Matthew D. Hoffman

Adobe Systems

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Marcus A. Brubaker

University of Toronto

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Panos Toulis

Harvard University

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Adji B. Dieng

Columbia University

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Andrew Gelman

Columbia University

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