178
Mon, 7/29/2019,
10:30 AM -
12:20 PM
CC-712
Novel Applications and Extensions of Dimension Reduction Methods — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Timothy I. Cannings, University of Edinburgh
10:35 AM
Comparison of Simple and Complex Predictive Models Applied to the National Surveys on Drug Use and Health
Georgiy Bobashev, Research Triangle Institute ; Emily Hadley, RTI International
10:50 AM
Graph-Based Dependency Criterion with Applications in Biology
Salimeh Yasaei Sekeh, University of Michigan ; Alfred O. Hero, University of Michigan
11:05 AM
Bi-Orthogonal Tensor Decomposition for Image Style Matching
Yutong Li, University of Illinois at Urbana-Champaign ; Ruoqing Zhu, University of Illinois Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
11:20 AM
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models
Yuqi Gu, University of Michigan ; Gongjun Xu, University of Michigan
11:35 AM
Sparse Generalized Principal Component Analysis: Algorithms and Their Applications
Jianhao Zhang, Ohio State University ; Yoonkyung Lee, Ohio State University
11:50 AM
Tensor on Tensor Regression with Various Low-Rank Regression Parameters and Elliptically Contoured Distributed Errors
Carlos Llosa, Iowa State University ; Ranjan Maitra, Iowa State University
12:05 PM
Application of Personalized Growth Curve in Customer Life Time Value Estimation via Embedding
Liang Xie, Didi Chuxing
