4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
Josh Alman, Jiehao Liang, Zhao Song +2
Over the last decade, deep neural networks have transformed our society, and they are already widely applied in various machine learning applications. State-of-art deep neural netw…
cs.DS2022
A Faster -means++ Algorithm
Jiehao Liang, Somdeb Sarkhel, Zhao Song +3
-means++ is an important algorithm for choosing initial cluster centers for the -means clustering algorithm. In this work, we present a new algorithm that can solve the -m…
cs.LG2022
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory
Jiehao Liang, Zhao Song, Zhaozhuo Xu +2
Kernel density estimation (KDE) stands out as a challenging task in machine learning. The problem is defined in the following way: given a kernel function and a set of poi…