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- Sören Laue
- ICML
- 2012

We present a hybrid algorithm for optimizing a convex, smooth function over the cone of positive semidefinite matrices. Our algorithm converges to the global optimal solution and can be used to solve… (More)

- Stefan Funke, Sören Laue
- STACS
- 2007

We consider the problem of assigning powers to nodes of a wireless network in the plane such that a message from a source node s reaches all other nodes within a bounded number k of transmissions and… (More)

Hyperbolic geo metry appears to be intrinsic in many large real networks. We construct and implement a new maximum likelihood estimation algorithm that embeds scale-free graphs in the hyperbolic… (More)

- Joachim Giesen, Martin Jaggi, Sören Laue
- ESA
- 2012

We devise a framework for computing an approximate solution path for an important class of parameterized semidefinite problems that is guaranteed to be ε-close to the exact solution path. The problem… (More)

- Sören Laue
- STACS
- 2008

Suppose we are given a finite set of points P in R and a collection of polytopes T that are all translates of the same polytope T . We consider two problems in this paper. The first is the set cover… (More)

- Joachim Giesen, Martin Jaggi, Sören Laue
- ESA
- 2010

We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an ε-approximate solution (and a… (More)

- Joachim Giesen, Martin Jaggi, Sören Laue
- AISTATS
- 2012

We devise a simple algorithm for computing an approximate solution path for parameterized semidefinite convex optimization problems that is guaranteed to be ε-close to the exact solution path. As a… (More)

- Georgiana Dinu, Stefan Thater, Sören Laue
- HLT-NAACL
- 2012

This paper compares a number of recently proposed models for computing context sensitive word similarity. We clarify the connections between these models, simplify their formulation and evaluate them… (More)

- Stefan Funke, Sören Laue, Rouven Naujoks, Zvi Lotker
- DCOSS
- 2008

- Moritz von Looz, Mustafa Özdayi, Sören Laue, Henning Meyerhenke
- 2016 IEEE High Performance Extreme Computing…
- 2016

Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data sets. The commonly used graph-based… (More)