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47 * ! Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-152B
Causal Inference in the Presence of Nuisance Parameters: Latest Developments — Invited Papers
IMS, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Judith Jacqueline Lok, Boston University
Chair(s): Qingyan Xiang, Boston University
4:05 PM Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression
Whitney Newey, MIT Economics; Victor Chernozhukov, MIT Economics; Vasilis Syrgkanis, Microsoft Research; Victor Quintas-Martinez, MIT Economics
4:30 PM Sequentially Debiased Estimation of Identified Total Effects in Causal Graphical Models with Hidden Variables
Andrea ROTNITZKY, Universidad Torcuato Di Tella; Ezequiel Smucler, Glovo; James M Robins, Harvard University
4:55 PM How Estimating Nuisance Parameters Often Reduces the Variance (With Variance Correction)
Judith Jacqueline Lok, Boston University
5:20 PM Discussant: Oliver Dukes, University of Pennsylvania
5:40 PM Floor Discussion