Zhihua Zhang

Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition

2015 · arXiv (Cornell University)

Symmetric positive semi-definite (SPSD) matrix approximation methods have been extensively used to speed up large-scale eigenvalue computation and kernel learning methods. The standard sketch based method, which we call the prototype model, produces relatively accurate …

An Efficient Character-Level Neural Machine Translation

2016 · arXiv (Cornell University)

Neural machine translation aims at building a single large neural network that can be trained to maximize translation performance. The encoder-decoder architecture with an attention mechanism achieves a translation performance comparable to the existing state-of-the-art …