3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
Stein Variational Inference for Discrete Distributions
Jun Han, Fan Ding, Xianglong Liu +3
Gradient-based approximate inference methods, such as Stein variational gradient descent (SVGD), provide simple and general-purpose inference engines for differentiable continuous…
stat.ML2016★ 2 cited
Bootstrap Model Aggregation for Distributed Statistical Learning
Jun Han, Qiang Liu
In distributed, or privacy-preserving learning, we are often given a set of probabilistic models estimated from different local repositories, and asked to combine them into a singl…