%0 Generic %1 tran2016edward %A Tran, Dustin %A Kucukelbir, Alp %A Dieng, Adji B. %A Rudolph, Maja %A Liang, Dawen %A Blei, David M. %D 2016 %K gpugrant lda topicmodelling %T Edward: A library for probabilistic modeling, inference, and criticism %U http://arxiv.org/abs/1610.09787 %X Probabilistic modeling is a powerful approach for analyzing empirical information. We describe Edward, a library for probabilistic modeling. Edward's design reflects an iterative process pioneered by George Box: build a model of a phenomenon, make inferences about the model given data, and criticize the model's fit to the data. Edward supports a broad class of probabilistic models, efficient algorithms for inference, and many techniques for model criticism. The library builds on top of TensorFlow to support distributed training and hardware such as GPUs. Edward enables the development of complex probabilistic models and their algorithms at a massive scale.

@misc{tran2016edward, abstract = {Probabilistic modeling is a powerful approach for analyzing empirical information. We describe Edward, a library for probabilistic modeling. Edward's design reflects an iterative process pioneered by George Box: build a model of a phenomenon, make inferences about the model given data, and criticize the model's fit to the data. Edward supports a broad class of probabilistic models, efficient algorithms for inference, and many techniques for model criticism. The library builds on top of TensorFlow to support distributed training and hardware such as GPUs. Edward enables the development of complex probabilistic models and their algorithms at a massive scale.}, added-at = {2017-01-20T15:41:01.000+0100}, author = {Tran, Dustin and Kucukelbir, Alp and Dieng, Adji B. and Rudolph, Maja and Liang, Dawen and Blei, David M.}, biburl = {https://www.bibsonomy.org/bibtex/271ef56f6e15ad76572d7eb3a05a83a72/albinzehe}, description = {[1610.09787] Edward: A library for probabilistic modeling, inference, and criticism}, interhash = {b1699a1bf788b770fc89dc26b0d49800}, intrahash = {71ef56f6e15ad76572d7eb3a05a83a72}, keywords = {gpugrant lda topicmodelling}, note = {cite arxiv:1610.09787}, timestamp = {2017-05-22T07:48:08.000+0200}, title = {Edward: A library for probabilistic modeling, inference, and criticism}, url = {http://arxiv.org/abs/1610.09787}, year = 2016 }