49 citations · 131 across the 8 of their papers we have counts for
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stat.ML2017★ 20 cited
Riemannian Stein Variational Gradient Descent for Bayesian Inference
Chang Liu, Jun Zhu
We develop Riemannian Stein Variational Gradient Descent (RSVGD), a Bayesian inference method that generalizes Stein Variational Gradient Descent (SVGD) to Riemann manifold. The be…
stat.ML2017★ 49 cited
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo, Chang Liu, Jiaxin Shi +3
Stein variational gradient descent (SVGD) is a recently proposed particle-based Bayesian inference method, which has attracted a lot of interest due to its remarkable approximation…