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Stein Variational Message Passing for Continuous Graphical Models


Jun 07, 2018
Dilin Wang, Zhe Zeng, Qiang Liu


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Learning to Draw Samples with Amortized Stein Variational Gradient Descent


Oct 30, 2017
Yihao Feng, Dilin Wang, Qiang Liu

* Accepted by UAI 2017 

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Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE


Jul 04, 2017
Qiang Liu, Dilin Wang


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Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning


Nov 26, 2016
Dilin Wang, Qiang Liu

* Under review as a conference paper at ICLR 2017 

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Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm


Aug 19, 2016
Qiang Liu, Dilin Wang

* To appear in NIPS 2016 

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