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Activity Details

508 Wed, 8/6/2014, 10:30 AM - 12:20 PM CC-207
High-Dimensional Data — Contributed Papers
Section on Statistical Computing , Statistical Learning and Data Mining Section , Interface Foundation of North America
Chair(s): Enayetur Raheem, University of Northern Colorado   
10:35 AM Exploiting Feature Information in Matrix Completion Anran Wang, North Carolina State University ; Hua Zhou, North Carolina State University ; Lexin Li, North Carolina State University
10:50 AM A Joint Convex Penalty for Inverse Covariance Matrix Estimation Ashwini Maurya, Michigan State University
11:05 AM Searching for Local Holes in Multivariate Data Woollcott Smith, Temple University
11:20 AM Computational Procedure for L1-Based Principal Components Robert Pavur, University of North Texas ; Constantine Loucopoulos, Northeastern Ilinois University ; Kellie Keeling, University of Denver
11:35 AM Strong Rules for Nonconvex Penalties and Their Implications for Efficient Algorithms in High-Dimensional Regression Sangin Lee, University of Iowa ; Patrick Breheny, University of Iowa
11:50 AM Floor Discussion

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