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203 Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Contemporary Machine Learning — Contributed Papers
Section on Statistical Learning and Data Science, Text Analysis Interest Group
Chair(s): Michael Lavine, Army Research Office
Risk Minimization Under Sampling Bias Arising from Customer Interactions
Scott Rome, Comcast; Michael Kreisel, Comcast
An Optimal Approach in Adaptive Collection Reducing the Bias
Tong Wang
Transfer Learning for Auto-Coding Free-Text Survey Responses
Peter Baumgartner, RTI International; Amanda Smith, RTI International; Murrey Olmsted, RTI International; Dawn Ohse, RTI International; Bucky Fairfax, RTI International
Post-Hoc Mixture Models of the Best Linear Unbiased Predictors from Linear Mixed Effects Models to Classify Longitudinal Data with Haphazardly Spaced Intervals: A Simulation Study
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital; Benjamin E Leiby, Division of Biostatistics
Modeling Temporary Shocks with Latent Processes for High-Dimensional Demand Time Series
Benedikt Sommer, Maersk ; Klaus Kähler Holst, Maersk Research & Data; Pierre Pinson, Technical University of Denmark
Real-Time Regression Analysis of Streaming Clustered Data Sets
Lan Luo, University of Michigan; Peter X.K. Song, University of Michigan