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Activity Details

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