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Activity Details
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422 !
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Thu, 8/12/2021,
4:00 PM -
5:50 PM
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Virtual
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Recent Development of Machine Learning Methods in Causal Inference — Invited Papers
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Section on Statistical Learning and Data Science, ENAR, American Association for the Advancement of Science
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Organizer(s): Rui Song, North Carolina State University
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Chair(s): Hongtu Zhu, University of North Carolina
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4:05 PM
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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
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4:25 PM
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Calibrated Optimal Decision-Making with Multiple Data Sources and Limited Outcome
Hengrui Cai, North Carolina State University
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4:45 PM
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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
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5:05 PM
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Almost Matching Exactly
Cynthia Rudin, Duke University; Alexander Volfovsky, Duke University; Sudeepa Roy, Duke University
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5:25 PM
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Discussant: Jelena Bradic, University of California, San Diego
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5:45 PM
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Floor Discussion
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