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Sessions Were Renumbered as of May 19.

CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

74 Sun, 7/31/2016, 4:00 PM - 5:50 PM CC-W186b
Estimation and Learning in Graphical Models — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Brian Naughton, North Carolina State University
4:05 PM Topological Property Hypotheses for Graphical Models Junwei Lu, Princeton ; Matey Neykov, Princeton ; Han Liu, Princeton
4:20 PM Learning Large-Scale DAG Models Using Overdispersion Gunwoong Park, University of Wisconsin - Madison
4:35 PM An Exposition on the Propriety of Restricted Boltzmann Machines Andrea Kaplan, Iowa State University ; Daniel Nordman, Iowa State University ; Stephen Vardeman, Iowa State University
4:50 PM Joint Multilevel Gaussian Graphical Model Liang Shan ; Inyoung Kim, Virginia Tech
5:05 PM A Convex Framework for High-Dimensional Sparse Cholesky Selection with Convergence Guarantees Syed Rahman, University of Florida ; Kshitij Khare, University of Florida
5:20 PM Topological Inference on Time-Varying Gaussian Graphical Models Kean Ming Tan ; Junwei Lu, Princeton ; Han Liu, Princeton ; Tong Zhang, Rutgers University
5:35 PM Blessing of Massive Scale: Spatial Graphical Model Estimation with a Total Cardinality Constraint Approach Ethan Fang, Princeton ; Han Liu, Princeton ; Mendi Wang, Princeton
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