Search Results for author: Christian Grussler

Found 4 papers, 4 papers with code

Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank Inducing Norms

2 code implementations17 Oct 2018 Christian Grussler, Pontus Giselsson

This is known for the nuclear norm, but not for most other members of the low-rank inducing family.

Local Convergence of Proximal Splitting Methods for Rank Constrained Problems

2 code implementations11 Oct 2017 Christian Grussler, Pontus Giselsson

We analyze the local convergence of proximal splitting algorithms to solve optimization problems that are convex besides a rank constraint.

Low-Rank Inducing Norms with Optimality Interpretations

2 code implementations9 Dec 2016 Christian Grussler, Pontus Giselsson

A posteriori guarantees on solving an underlying rank constrained optimization problem with these convex relaxations are provided.

Matrix Completion

Low-rank Optimization with Convex Constraints

1 code implementation6 Jun 2016 Christian Grussler, Anders Rantzer, Pontus Giselsson

In this paper, we propose an alternative convex relaxation that uses the convex envelope of the squared Frobenius norm and the rank constraint.

Cannot find the paper you are looking for? You can Submit a new open access paper.