44 citations · 153 across the 39 of their papers we have counts for
3 papers · 1 filter
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…
Newton-MR: Inexact Newton Method With Minimum Residual Sub-problem Solver
Fred Roosta, Yang Liu, Peng Xu +1
We consider a variant of inexact Newton Method, called Newton-MR, in which the least-squares sub-problems are solved approximately using Minimum Residual method. By construction, N…
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…