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206 Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Machine Learning Methodology — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Erin E Blankenship, University of Nebraska-Lincoln
Application of Stochastic Gradient Descent in Parameter Estimation for Models with Spatial Correlation
Gan Luan, New Jersey Institute of Tech
Interpreting Robust Optimization via Adversarial Influence Functions
Linjun Zhang, Rutgers University; Zhun Deng, Harvard University; Jialiang Wang, Harvard University; Cynthia Dwork, Harvard University
Regularized High-Dimensional Low Tubal Rank Tensor Regression
Samrat Roy; George Michailidis, University of Florida
Adversarial Networks for Robust Estimation
Ziyue Wang, Rutgers University-New Brunswick ; Zhiqiang Tan, Rutgers University
Validation of Neuro-Fuzzy Based Classifiers for Outcome from Longitudinal RCT
Venkata Sukumar Gurugubelli, University of Massachusetts - Dartmouth
Application of Machine Learning Imputation for Machine Learning
Jonathan Lisic, Cigna