69 citations · 146 across the 4 of their papers we have counts for
4 papers
A Study of BFLOAT16 for Deep Learning Training
Dhiraj Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi +16
This paper presents the first comprehensive empirical study demonstrating the efficacy of the Brain Floating Point (BFLOAT16) half-precision format for Deep Learning training acros…
Sub-sampled Newton Methods with Non-uniform Sampling
Peng Xu, Jiyan Yang, Farbod Roosta-Khorasani +2
We consider the problem of finding the minimizer of a convex function of the form where a low-rank facto…
Control of Generalized Energy Storage Networks
Junjie Qin, Yinlam Chow, Jiyan Yang +1
The integration of intermittent and volatile renewable energy resources requires increased flexibility in the operation of the electric grid. Storage, broadly speaking, provides th…
Tensor machines for learning target-specific polynomial features
Jiyan Yang, Alex Gittens
Recent years have demonstrated that using random feature maps can significantly decrease the training and testing times of kernel-based algorithms without significantly lowering th…