20 citations · 22 across the 2 of their papers we have counts for
2 papers
stat.ML2019★ 2 cited
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Chang Liu, Jingwei Zhuo, Jun Zhu
It is known that the Langevin dynamics used in MCMC is the gradient flow of the KL divergence on the Wasserstein space, which helps convergence analysis and inspires recent particl…
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…