103 citations · 179 across the 7 of their papers we have counts for
4 papers · 1 filter
DBGSA: A Novel Data Adaptive Bregman Clustering Algorithm
Ying Xiao, Hou-biao Li, Yu-pu Zhang
With the development of Big data technology, data analysis has become increasingly important. Traditional clustering algorithms such as K-means are highly sensitive to the initial…
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Behrooz Ghorbani, Shankar Krishnan, Ying Xiao
To understand the dynamics of optimization in deep neural networks, we develop a tool to study the evolution of the entire Hessian spectrum throughout the optimization process. Usi…
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan, Ying Xiao, Rif A. Saurous
Progress in deep learning is slowed by the days or weeks it takes to train large models. The natural solution of using more hardware is limited by diminishing returns, and leads to…
Fourier PCA and Robust Tensor Decomposition
Navin Goyal, Santosh Vempala, Ying Xiao
Fourier PCA is Principal Component Analysis of a matrix obtained from higher order derivatives of the logarithm of the Fourier transform of a distribution.We make this method algor…