8 citations · 9 across the 5 of their papers we have counts for
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cs.LG2019★ 8 cited
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training
Kwangmin Yu, Thomas Flynn, Shinjae Yoo +1
Stochastic Gradient Descent (SGD) is the most popular algorithm for training deep neural networks (DNNs). As larger networks and datasets cause longer training times, training on d…
math.OC2019
A Simultaneous Perturbation Weak Derivative Estimator for Stochastic Neural Networks
Thomas Flynn, Felisa Vázquez-Abad
In this paper we study gradient estimation for a network of nonlinear stochastic units known as the Little model. Many machine learning systems can be described as networks of homo…
math.ST2019
Change Detection with the Kernel Cumulative Sum Algorithm
Thomas Flynn, Shinjae Yoo
Online change detection involves monitoring a stream of data for changes in the statistical properties of incoming observations. A good change detector will detect any changes shor…