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292 ! Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Inferential Thinking in a Machine Learning World — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Lucas Mentch, University of Pittsburgh
Chair(s): Lucas Mentch, University of Pittsburgh
3:35 PM Why Random Forests Work and Why That’s a Problem
Siyu Zhou, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
4:00 PM A Semiparametric Approach to Variable Importance with Multiple Testing Corrections
Aaditya K Ramdas, Carnegie Mellon University
4:25 PM Recent Advances in Applying Floodgate to High-Dimensional Inference
Lucas Janson, Harvard University; Lu Zhang, Harvard University
4:50 PM Variable Importance, Cohort Shapley Value, and Redlining
Art Owen, Stanford University; Masayoshi Mase, Hitachi, Ltd; Ben Seiler, Stanford University
5:15 PM Floor Discussion