44 citations · 153 across the 39 of their papers we have counts for
Showing 2018 · cs.LGShow all
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cs.LG2018★ 1 cited
Exchangeability and Kernel Invariance in Trained MLPs
Russell Tsuchida, Fred Roosta, Marcus Gallagher
In the analysis of machine learning models, it is often convenient to assume that the parameters are IID. This assumption is not satisfied when the parameters are updated through t…
cs.LG2018★ 5 cited
Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems
Chih-Hao Fang, Sudhir B Kylasa, Fred Roosta +2
First-order optimization methods, such as stochastic gradient descent (SGD) and its variants, are widely used in machine learning applications due to their simplicity and low per-i…