17 citations · 42 across the 26 of their papers we have counts for
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stat.ML2020★ 1 cited
Nonparametric Variable Screening with Optimal Decision Stumps
Jason M. Klusowski, Peter M. Tian
Decision trees and their ensembles are endowed with a rich set of diagnostic tools for ranking and screening variables in a predictive model. Despite the widespread use of tree bas…
stat.ML2020
Good Classifiers are Abundant in the Interpolating Regime
Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney
Within the machine learning community, the widely-used uniform convergence framework has been used to answer the question of how complex, over-parameterized models can generalize w…
stat.ML2020
Sparse learning with CART
Jason M. Klusowski
Decision trees with binary splits are popularly constructed using Classification and Regression Trees (CART) methodology. For regression models, this approach recursively divides t…