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