2 code implementations • 20 Apr 2020 • K. Fountoulakis, M. Liu, D. F. Gleich, M. W. Mahoney
Possible reasons for this are: the steep learning curve for these algorithms; the lack of efficient and easy to use software; and the lack of detailed numerical experiments on real-world data that demonstrate their usefulness.
no code implementations • 27 May 2019 • S. Das, J. Demmel, K. Fountoulakis, L. Grigori, M. W. Mahoney, S. Yang
Assuming that the data are row-partitioned, bLARS reduces the number of arithmetic operations, latency, and bandwidth by a factor of b.