Europe
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu, Mehmet F. Demirel, Yingyu Liang
Neural Information Processing Systems http://nips.cc/
Undirected Probabilistic Model for Tensor Decomposition
Tensor decompositions (TDs) serve as a powerful tool for analyzing multiway data.
Efficientconstrainedsamplingviathe mirror-Langevinalgorithm
The sampling problem has attracted considerable attention recently within the machine learning and statistics communities. This renewed interest in sampling is spurred, on one hand, by a wide breadth of applications ranging from Bayesian inference [RC04, DM+19] and its use in inverse problems [DS17], to neural networks [GPAM+14, TR20].
Efficientconstrainedsamplingviathe mirror-Langevinalgorithm
The sampling problem has attracted considerable attention recently within the machine learning and statistics communities. This renewed interest in sampling is spurred, on one hand, by a wide breadth of applications ranging from Bayesian inference [RC04, DM+19] and its use in inverse problems [DS17], to neural networks [GPAM+14, TR20].
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
Mini-batch training coupled with sampling is used to alleviate this challenge.
