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Mixed membership Gaussians - EconPapers - RePEcEconPapers
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von J Giesen · — By Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum and Christoph Staudt; Abstract: In recent years, there has been ... von J Giesen · — By Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum and Christoph Staudt; Abstract: In recent years, there has been ...
Approximating Parameterized Convex Optimization ProblemsSpringer
link.springer.com
von J Giesen · · Zitiert von: 51 — Friedrich-Schiller-Universität Jena, Germany. Joachim Giesen & Sören Laue · ETH Zürich, Switzerland. Martin Jaggi. von J Giesen · · Zitiert von: 51 — Friedrich-Schiller-Universität Jena, Germany. Joachim Giesen & Sören Laue · ETH Zürich, Switzerland. Martin Jaggi.
GENO – Optimization for Classical Machine Learning ...ResearchGate
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Sören Laue · Sören Laue. This person is not on ResearchGate, or hasn't claimed ... Sören Laue · Mark Blacher · Joachim Giesen. Constrained optimization ... Sören Laue · Sören Laue. This person is not on ResearchGate, or hasn't claimed ... Sören Laue · Mark Blacher · Joachim Giesen. Constrained optimization ...
Optimizing over the Growing SpectrahedronSpringer
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von J Giesen · · Zitiert von: 13 — Sören Laue. Part of the book series: Lecture Notes in Computer Science ... Joachim Giesen & Sören Laue. CMAP, École Polytechnique, Palaiseau, France. von J Giesen · · Zitiert von: 13 — Sören Laue. Part of the book series: Lecture Notes in Computer Science ... Joachim Giesen & Sören Laue. CMAP, École Polytechnique, Palaiseau, France.
480 SÖREN LAUE A set of - Yumpuwww.yumpu.com › document › view › dropsdagstu...
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drops.dagstuhl.de - Theoretische Informatik II - Uni Jena.
Journal of Multivariate Analysis - EconPapers - RePEcRePEc
econpapers.repec.org
Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum and Christoph Staudt; Semiparametric estimation of the high-dimensional ...
Approximating Parameterized Convex Optimization Problems ...link.springer.com › chapter
link.springer.com
Approximating Parameterized Convex Optimization Problems. Authors; Authors and affiliations. Joachim Giesen; Martin Jaggi; Sören Laue. Joachim Giesen. 1.
A Faster Algorithm for Two-Variable Integer ProgrammingSpringer
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von F Eisenbrand · · Zitiert von: 4 — Friedrich Eisenbrand and Sören Laue. Max-Planck-Institut für InformatikSaarbrücken,. Germany &#.de.
A linear algorithm for integer programming in the plane | SpringerLink
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(1); Sören Laue (1). Author Affiliations. 1. Max-Planck-Institut für Informatik, Saarbrücken, Germany ...
Approximating Parameterized Convex Optimization Problems |...
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We extend Clarkson’s framework by considering parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a...
Bounded-Hop Energy-Efficient Broadcast in Low-Dimensional Metrics Via...
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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...
Optimizing over the Growing Spectrahedron | SpringerLink
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We devise a framework for com…ng an approximate solution path for an important class of parameterized semidefinite problems that is guaranteed to be ε-close...
Minimum-Energy Broadcast with Few Senders | SpringerLink
link.springer.com
Broadcasting a message from a given source node to all other nodes is a fundamental task during the operation of a wireless network. In many application...
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