160 citations · 618 across the 56 of their papers we have counts for
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cs.LG2018
Efficient learning of neighbor representations for boundary trees and forests
Tharindu Adikari, Stark C. Draper
We introduce a semiparametric approach to neighbor-based classification. We build off the recently proposed Boundary Trees algorithm by Mathy et al.(2015) which enables fast neighb…
cs.LG2018★ 3 cited
Anytime Stochastic Gradient Descent: A Time to Hear from all the Workers
Nuwan Ferdinand, Stark Draper
In this paper, we focus on approaches to parallelizing stochastic gradient descent (SGD) wherein data is farmed out to a set of workers, the results of which, after a number of upd…