2 papers
cs.DC2026
Communication-Avoiding Linear Algebraic Kernel K-Means on GPUs
Julian Bellavita, Matthew Rubino, Nakul Iyer +4
Clustering is an important tool in data analysis, with K-means being popular for its simplicity and versatility. However, it cannot handle non-linearly separable clusters. Kernel K…
stat.ML2025
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
Yixiao Wang, Zishan Shao, Ting Jiang +1
We present a novel enhanced cyclic coordinate descent (ECCD) framework for solving generalized linear models with elastic net constraints that reduces training time in comparison t…