306 citations · 682 across the 25 of their papers we have counts for
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stat.ML2018★ 27 cited
Stein Variational Gradient Descent as Moment Matching
Qiang Liu, Dilin Wang
Stein variational gradient descent (SVGD) is a non-parametric inference algorithm that evolves a set of particles to fit a given distribution of interest. We analyze the non-asympt…
cs.LG2018★ 17 cited
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang, Hao Liu, Qiang Liu
Variational inference with α-divergences has been widely used in modern probabilistic machine learning. Compared to Kullback-Leibler (KL) divergence, a major advantage of using α-d…