Search Results for author: Ameet S. Talwalkar

Found 2 papers, 0 papers with code

Variable Importance Using Decision Trees

no code implementations NeurIPS 2017 Jalil Kazemitabar, Arash Amini, Adam Bloniarz, Ameet S. Talwalkar

Decision trees and random forests are well established models that not only offer good predictive performance, but also provide rich feature importance information.

Feature Importance

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale

no code implementations NeurIPS 2016 Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet S. Talwalkar

Deep distributed decision trees and tree ensembles have grown in importance due to the need to model increasingly large datasets.

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