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Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning


Jun 13, 2020
Yunhao Tang, Alp Kucukelbir


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Robust Probabilistic Modeling with Bayesian Data Reweighting


Jun 19, 2018
Yixin Wang, Alp Kucukelbir, David M. Blei

* In ICML 2017. Updated related work 

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Variational Inference: A Review for Statisticians


May 09, 2018
David M. Blei, Alp Kucukelbir, Jon D. McAuliffe

* Journal of the American Statistical Association, Vol. 112 , Iss. 518, 2017 

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Variational Deep Q Network


Nov 30, 2017
Yunhao Tang, Alp Kucukelbir

* 12 pages, 5 figures, Second workshop on Bayesian Deep Learning (NIPS 2017) 

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


Feb 01, 2017
Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei


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Posterior Dispersion Indices


May 24, 2016
Alp Kucukelbir, David M. Blei


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Automatic Differentiation Variational Inference


Mar 02, 2016
Alp Kucukelbir, Dustin Tran, Rajesh Ranganath, Andrew Gelman, David M. Blei


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Automatic Variational Inference in Stan


Jun 12, 2015
Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David M. Blei


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Population Empirical Bayes


Jun 08, 2015
Alp Kucukelbir, David M. Blei

* UAI 2015 

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