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cs.LG2022
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Ainesh Bakshi, Piotr Indyk, Praneeth Kacham +2
Kernel matrices, as well as weighted graphs represented by them, are ubiquitous objects in machine learning, statistics and other related fields. The main drawback of using kernel…
cs.DS2022
Low-Rank Approximation with Matrix-Vector Products
Ainesh Bakshi, Kenneth L. Clarkson, David P. Woodruff
We study iterative methods based on Krylov subspaces for low-rank approximation under any Schatten- norm. Here, given access to a matrix through matrix-vector products, an a…