JSM2023
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Topic-Contributed Paper Session

Recent advances in decision tree and random forest theory

Thu, Aug 10, 10:30 AM
YanShuo TanChairJason KlusowskiOrganizer
IMS

5 Presentations

Convergence Rates of Oblique Regression Trees for Flexible Function Libraries
10:35 AM - 10:55 AM
Rajita Chandak (Princeton University)
Co-authors: Matias Cattaneo (Princeton University), Jason Klusowski (Princeton University)
MDI+: A Flexible Feature Importance Framework For Random Forests
10:55 AM - 11:15 AM
Tiffany Tang
Co-authors: Abhineet Agarwal (UC Berkeley), Ana Kenney, YanShuo Tan (National University of Singapore), Bin Yu (University of California at Berkeley)
WITHDRAWN Non-asymptotic rates for random forest prediction intervals
11:15 AM - 11:35 AM
Co-authors: Krishnakumar Balasubramanian (University of California)
The importance of locally adaptive bandwidth to decision tree generalization on data with heterogeneous variability
11:35 AM - 11:55 AM
Abhineet Agarwal (UC Berkeley)
Variance Reduction from Stacking Regression Trees
11:55 AM - 12:15 PM
Jason Klusowski (Princeton University)
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