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Activity Details

81 Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-322
Graphical Models — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Jianyu Liu, University of North Carolina at Chapel Hill
4:05 PM A Fused Latent and Graphical Model for Multivariate Binary Data Yunxiao Chen, Emory University ; Xiaoou Li, University of Minnesota Twin Cities ; Jingcheng Liu, Columbia University ; Zhiliang Ying, Columbia University
4:20 PM Bayesian Estimation of Multiple Gaussian Graphical Models with Unknown Class Jiali Lin, Virginia Tech ; Inyoung Kim, Virginia Tech
4:35 PM Sparse Precision Matrix Estimation with Bayesian Regularization Lingrui Gan, University of Illinois At Urbana and Champaign ; Naveen N Narisetty, University of Illinois at Urbana-Champaign ; Feng Liang, University of Illinois at Urbana Champaign
4:50 PM Moralization and Interventions for DAG Model Learning Gunwoong Park, University of Michigan
5:05 PM Multivariate Gaussian Network Structure Learning Xingqi Du, North Carolina State University ; Subhashis Ghoshal, North Carolina State University
5:20 PM Inference in Gaussian DAGs with Known Partial Ordering Syed Rahman, University of Florida
5:35 PM Neighborhood Selection for Gaussian Graphical Model with Vecotr-Valued Nodes Yanzhen Deng
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