Paper Info
Title
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation.
Abstract
We propose a general framework to accelerate significantly the algorithms for nonnegative matrix factorization (NMF). This framework is inspired from the extrapolation scheme used to accelerate gradient methods in convex optimization and from the method of parallel tangents. However, the use of extrapolation in the context of the exact coordinate descent algorithms tackling the nonconvex NMF probl...
Year
DOI
Venue
2019
10.1162/neco_a_01157
Neural Computation
DocType
Volume
Issue
Journal
31
2
ISSN
Citations 
PageRank 
0899-7667
1
0.35
References 
Authors
22
2
Name
Order
Citations
PageRank
Andersen Man Shun Ang132.72
Nicolas Gillis250339.77