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Activity Details

16 ! Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-340
Recent Advances and Challenges in High-Dimensional Data Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science , IMS , Section on Nonparametric Statistics
Organizer(s): Pierre Bellec, Rutgers University
Chair(s): Dan Yang, Rutgers University
2:05 PM On the Asymptotic Performance of Bridge Estimators Arian Maleki, Columbia Univ ; Haolei Weng, Columbia University ; Shuaiwen Wang, Columbia University
2:25 PM A General Framework for Uncovering Dependence Networks Johannes Lederer, University of Washington
2:45 PM The Generalized Lasso Problem and Uniqueness Alnur Ali ; Ryan Tibshirani, Carnegie Mellon University
3:05 PM Distributed Statistical Estimation and Rates of Convergence in Normal Approximation Stanislav Minsker, University of Southern California
3:25 PM Slope Meets Lasso in Sparse Linear Regression Pierre Bellec, Rutgers University
3:45 PM Floor Discussion
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