Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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172
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Mon, 7/31/2017,
10:30 AM -
12:20 PM
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CC-345
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Machine Learning and Algorithms — Contributed Papers
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Section on Statistical Computing , Section on Statistical Learning and Data Science
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Chair(s): Nicholas Meyer, North Carolina State University
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10:35 AM
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There Has to Be an Easier Way: a Simple Alternative for Parameter Tuning of Supervised Learning Methods
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Jill Lundell
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10:50 AM
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Streaming Matrix Completion with Automated Rank Selection
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Milo Page, JMP/NCSU ; Christopher M Gotwalt, JMP ; Alyson Wilson, North Carolina State University
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11:05 AM
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On Data Integration Problems with Manifolds
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Kenneth Ryan, WVU ; Mark Culp, West Virginia University
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11:20 AM
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A Moment-Based Estimation Procedure for Deeply-Nested Hierarchical Models
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Ningshan Zhang, New York University ; Patrick Perry, New York University ; Kyle Schmaus, Stitch Fix
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11:35 AM
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Online Anomaly Detection on Multi-Gigabit Network Streams
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Zheng Gao, University of Michigan
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11:50 AM
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Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
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Daniel Apley, Northwestern University
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12:05 PM
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Matrix-Free Computation of Spatial-Temporal Gaussian Autoregressions and Related Stat-Space Models
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Chunxiao Wang, Oregon State University ; Debashis Mondal, Oregon State University
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