Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning

Jun 13, 2020
Yunhao Tang, Alp Kucukelbir


  Access Paper or Ask Questions

Robust Probabilistic Modeling with Bayesian Data Reweighting

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

* In ICML 2017. Updated related work 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Variational Deep Q Network

Nov 30, 2017
Yunhao Tang, Alp Kucukelbir

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

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Posterior Dispersion Indices

May 24, 2016
Alp Kucukelbir, David M. Blei


  Access Paper or Ask Questions

Automatic Differentiation Variational Inference

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


  Access Paper or Ask Questions

Automatic Variational Inference in Stan

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


  Access Paper or Ask Questions

Population Empirical Bayes

Jun 08, 2015
Alp Kucukelbir, David M. Blei

* UAI 2015 

  Access Paper or Ask Questions