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cs.LG2022
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder
Decision tree ensembles are widely used and competitive learning models. Despite their success, popular toolkits for learning tree ensembles have limited modeling capabilities. For…
cs.LG2022★ 4 cited
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
Hussein Hazimeh, Rahul Mazumder, Tim Nonet
We present L0Learn: an open-source package for sparse linear regression and classification using regularization. L0Learn implements scalable, approximate algorithms, based…