10 citations · 10 across the 2 of their papers we have counts for
2 papers
stat.ML2016
Unsupervised Learning with Truncated Gaussian Graphical Models
Qinliang Su, Xuejun Liao, Chunyuan Li +2
Gaussian graphical models (GGMs) are widely used for statistical modeling, because of ease of inference and the ubiquitous use of the normal distribution in practical approximation…
cs.LG2012★ 10 cited
Cross-Domain Multitask Learning with Latent Probit Models
Shaobo Han, Xuejun Liao, Lawrence Carin
Learning multiple tasks across heterogeneous domains is a challenging problem since the feature space may not be the same for different tasks. We assume the data in multiple tasks…