37 citations · 183 across the 28 of their papers we have counts for
4 papers · 1 filter
Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization
Junyu Zhang, Lin Xiao, Shuzhong Zhang
The cubic regularized Newton method of Nesterov and Polyak has become increasingly popular for non-convex optimization because of its capability of finding an approximate local sol…
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks
Linnan Wang, Wei Wu, Junyu Zhang +4
The performance and efficiency of distributed training of Deep Neural Networks highly depend on the performance of gradient averaging among all participating nodes, which is bounde…
A Cubic Regularized Newton's Method over Riemannian Manifolds
Junyu Zhang, Shuzhong Zhang
In this paper we present a cubic regularized Newton's method to minimize a smooth function over a Riemannian manifold. The proposed algorithm is shown to reach a second-order -s…
Highly accurate model for prediction of lung nodule malignancy with CT scans
Jason Causey, Junyu Zhang, Shiqian Ma +6
Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It rem…