306 citations · 682 across the 25 of their papers we have counts for
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stat.ML2016★ 79 cited
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Dilin Wang, Qiang Liu
We propose a simple algorithm to train stochastic neural networks to draw samples from given target distributions for probabilistic inference. Our method is based on iteratively ad…
stat.ML2016★ 306 cited
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu, Dilin Wang
We propose a general purpose variational inference algorithm that forms a natural counterpart of gradient descent for optimization. Our method iteratively transports a set of parti…