Snap ML: A Hierarchical Framework for Machine Learning
Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis
–Neural Information Processing Systems
We describe a new software framework for fast training of generalized linear models. Theframework,named Snap Machine Learning (Snap ML), combines recent advances inmachine learning systems andalgorithms inanested manner to reflect the hierarchical architecture of modern computing systems.
Neural Information Processing Systems
Mar-13-2026, 20:42:48 GMT
- Country:
- North America
- United States
- Massachusetts > Suffolk County
- Boston (0.04)
- Florida > Orange County
- Orlando (0.04)
- Massachusetts > Suffolk County
- Canada > Quebec
- Montreal (0.04)
- United States
- Europe > Switzerland
- Asia > India
- North America
- Technology: