2024
DiffRed: Dimensionality reduction guided by stable rank
AISTATS 2024poster
In this work, we propose a novel dimensionality reduction technique, \textit{DiffRed}, which first projects the data matrix, A, along first $k_1$ principal components and the residual matrix $A^{*}$ (left after subtracting its $k_1$-rank approximation) along $k_2$ Gaussian random vectors. We evaluat…