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