Subspace Embeddings and \(\ell_p\)-Regression Using Exponential Random Variables

David P. Woodruff, Qin Zhang

Abstract: Oblivious low-distortion subspace embeddings are a crucial building block for numerical linear algebra problems. We show for any real p, 1 ≤p < ∞, given a matrix M ∈\mathbbR^n \times d with n ≫d, w...