178 search results - page 1 / 36 » A Simple Algorithm for Nuclear Norm Regularized Problems |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
JMLR
2010
12 years 11 months ago
2010
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
CDC
2010
IEEE
12 years 8 months ago
2010
IEEE
—In this paper we study the overparametrization scheme for Hammerstein systems [1] in the presence of regularization. The quality of the convex approximation is analysed, that is...
CDC
2008
IEEE
13 years 4 months ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
SIAMREV
2010
12 years 11 months ago
2010
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...