1 code implementation • NeurIPS 2019 • Lingrui Gan, Xinming Yang, Naveen Narisetty, Feng Liang
In this paper, we propose a novel Bayesian group regularization method based on the spike and slab Lasso priors for jointly estimating multiple graphical models.
no code implementations • 29 Sep 2019 • Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
Given a query, unlike traditional IR that finds relevant documents or entities, in this work, we focus on retrieving both entities and their connections for insightful knowledge summarization.
no code implementations • 6 May 2018 • Lingrui Gan, Naveen N. Narisetty, Feng Liang
We consider a Bayesian framework for estimating a high-dimensional sparse precision matrix, in which adaptive shrinkage and sparsity are induced by a mixture of Laplace priors.
