Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, ...

Abstract: Dimensionality reduction is a popular approach to tackle high-dimensional data with low-dimensional nature. Subspace Restricted Isometry Property, a newly-proposed concept, has proved to be ...

This is the implementation for the paper Zeroth-Order Fine-Tuning of LLMs in Random Subspaces. In this paper, we propose the random Subspace Zeroth-order (SubZero) optimization to address the ...