Hashing embeddings of optimal dimension, with applications to linear least squares

The aim of this paper is two-fold: firstly, to present subspace embedding properties for s-hashing sketching matrices, with s ≥ 1, that are optimal in the projection dimension m of the sketch, namely, m = O(d), where d is the dimension of the subspace. A diverse set of results are presented that add...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Cartis, C, Fiala, J, Shao, Z
التنسيق: Internet publication
اللغة:English
منشور في: 2021