Search Results for author: Joseph K. Bradley

Found 3 papers, 1 papers with code

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.

SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform

3 code implementations26 Aug 2015 Xiao Li, Joseph K. Bradley, Sameer Pawar, Kannan Ramchandran

We consider the problem of computing the Walsh-Hadamard Transform (WHT) of some $N$-length input vector in the presence of noise, where the $N$-point Walsh spectrum is $K$-sparse with $K = {O}(N^{\delta})$ scaling sub-linearly in the input dimension $N$ for some $0<\delta<1$.

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