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139 * ! Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
Recent Advances of Semi-Supervised Learning: Techniques and Applications — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, ENAR
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Jiwei Zhao, University of Wisconsin-Madison
10:05 AM Optimal Semi-Supervised Estimation and Inference for High-Dimensional Linear Regression
Yang Ning, Cornell University ; Jiwei Zhao, University of Wisconsin-Madison; Heping Zhang, Yale University
10:25 AM Inference for Maximin Effects: A Sampling Approach to Aggregating Heterogenous High-Dimensional Regression Models
Zijian Guo, Rutgers University
10:45 AM Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend, Harvard University; Tianxi Cai, Harvard T.H. Chan School of Public Health
11:05 AM Doubly Robust Semi-Supervised Inference for Means Under MAR-Type Labeling Mechanisms with Selection Bias and Decaying Propensity Scores
Abhishek Chakrabortty, Texas A&M University
11:25 AM Semi-Supervised Learning with Network Information
Linda Zhao, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Haipeng Shen, University of Hong Kong; Dan Yang, University of Hong Kong; Wu Zhu, University of Pennsylvania
11:45 AM Floor Discussion