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Dilin Wang

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

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* 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

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* 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

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* To appear in NIPS 2016

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