ICML 2024spotlight0 citations

Fast Sampling-Based Sketches for Tensors

William Joseph Swartworth, David Woodruff

Abstract

We introduce a new approach for applying sampling-based sketches to two and three mode tensors. We illustrate our technique to construct sketches for the classical problems of $\ell_0$ sampling and producing $\ell_1$ embeddings. In both settings we achieve sketches that can be applied to a rank one tensor in $(\mathbb{R}^d)^{\otimes q}$ (for $q=2,3$) in time scaling with $d$ rather than $d^2$ or $d^3$. Our main idea is a particular sampling construction based on fast convolution which allows us to quickly compute sums over sufficiently random subsets of tensor entries.

BibTeX
@inproceedings{
swartworth2024fast,
title={Fast Sampling-Based Sketches for Tensors},
author={William Joseph Swartworth and David Woodruff},
booktitle={Forty-first International Conference on Machine Learning},
year={2024},
url={https://openreview.net/forum?id=tMkPL7Tiul}
}
Fast Sampling-Based Sketches for Tensors · ICML 2024