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
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
