2 papers
cs.LG2018
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…
cs.LG2018
GPU Accelerated Sub-Sampled Newton's Method
Sudhir B. Kylasa, Farbod Roosta-Khorasani, Michael W. Mahoney +1
First order methods, which solely rely on gradient information, are commonly used in diverse machine learning (ML) and data analysis (DA) applications. This is attributed to the si…