196 citations · 1.6k across the 143 of their papers we have counts for
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stat.ML2019★ 19 cited
Accelerating Langevin Sampling with Birth-death
Yulong Lu, Jianfeng Lu, James Nolen
A fundamental problem in Bayesian inference and statistical machine learning is to efficiently sample from multimodal distributions. Due to metastability, multimodal distributions…
stat.ML2019★ 37 cited
A stochastic version of Stein Variational Gradient Descent for efficient sampling
Lei Li, Yingzhou Li, Jian-Guo Liu +2
We propose in this work RBM-SVGD, a stochastic version of Stein Variational Gradient Descent (SVGD) method for efficiently sampling from a given probability measure and thus useful…