Research

• Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers

  with Abraham J. Wyner, Justin Bleich, David Mease

• Multivariate One-sided Testing in Matched Observational Studies as an Adversarial Game

  with Peter L. Cohen and Colin B. Fogarty

• Making Sense of Random Forest Probabilities, a Kernel Perspective

  with Abraham J. Wyner

• Modern Neural Networks Generalize on Small Data Sets

  with Abraham J. Wyner and Richard Berk

• Generalizations of the Random Forest Kernel

  with Abraham J. Wyner, Adam Kapelner, and Richard Berk

• Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials

  with Richard Berk, Andreas Buja, and Aurelie Ouss

• A More Efficient Approach to Large Scale Matrix Completion Problems

• JOUSBoost, An R Package for Improving Machine Learning Classifier Probability Estimates

• Jim Cramer’s ‘Mad Money’ Charitable Trust Performance and Factor Attribution

  with Jonathan S. Hartley