Sessions Were Renumbered as of May 19.
Legend:
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
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
