A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression

27 March 2018

Papers citing "A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression"

5 / 5 papers shown

Title
H2Opus: A distributed-memory multi-GPU software package for non-local operators Stefano Zampini W. Boukaram G. Turkiyyah Omar Knio David E. Keyes 63 5 0 12 Sep 2021
H2OPUS-TLR: High Performance Tile Low Rank Symmetric Factorizations using Adaptive Randomized Approximation Wajih Bou Karam Stefano Zampini G. Turkiyyah David E. Keyes 22 4 0 26 Aug 2021
Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations S. Cipolla J. Gondzio 75 10 0 09 Aug 2021
Detecting Label Noise via Leave-One-Out Cross-Validation Yu-Hang Tang Yuanran Zhu W. A. Jong 59 3 0 21 Mar 2021
MatRox: Modular approach for improving data locality in Hierarchical (Mat)rix App(Rox)imation Bangtian Liu Kazem Cheshmi Saeed Soori M. Strout M. Dehnavi 61 3 0 18 Dec 2018