15 citations · 61 across the 20 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.CO2019★ 1 cited
A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models
Clara Grazian, Yanan Fan
This paper provides a review of Approximate Bayesian Computation (ABC) methods for carrying out Bayesian posterior inference, through the lens of density estimation. We describe se…
cs.LG2019
Haar Graph Pooling
Yu Guang Wang, Ming Li, Zheng Ma +3
Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks. In these tasks, graph pooling is a critical ingredient by which GNNs…