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422 ! Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Recent Development of Machine Learning Methods in Causal Inference — Invited Papers
Section on Statistical Learning and Data Science, ENAR, American Association for the Advancement of Science
Organizer(s): Rui Song, North Carolina State University
Chair(s): Hongtu Zhu, University of North Carolina
4:05 PM Nonparametric Inverse Probability Weighted Estimators Based on the Highly Adaptive Lasso
Ashkan Ertefaie, University of Rochester; Nima Hejazi, University of California, Berkeley; Mark Van Der Laan, University of California
4:25 PM Calibrated Optimal Decision-Making with Multiple Data Sources and Limited Outcome
Hengrui Cai, North Carolina State University
4:45 PM Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
Max Goplerud, University of Pittsburgh; Kosuke Imai, Harvard University; Nicole E Pashley, Rutgers University
5:05 PM Almost Matching Exactly
Cynthia Rudin, Duke University; Alexander Volfovsky, Duke University; Sudeepa Roy, Duke University
5:25 PM Discussant: Jelena Bradic, University of California, San Diego
5:45 PM Floor Discussion