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