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» Approximation Algorithms for Min-Max Generalization Problems
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CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 8 months ago
Hitting forbidden minors: Approximation and Kernelization
We study a general class of problems called F -Deletion problems. In an F -Deletion problem, we are asked whether a subset of at most k vertices can be deleted from a graph G such...
Fedor V. Fomin, Daniel Lokshtanov, Neeldhara Misra...
JMLR
2012
11 years 11 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
WINE
2009
Springer
138views Economy» more  WINE 2009»
14 years 3 months ago
Covering Games: Approximation through Non-cooperation
We propose approximation algorithms under game-theoretic considerations. We indroduce and study the general covering problem which is a natural generalization of the well-studied m...
Martin Gairing
CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 15 days ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
FOCM
2011
175views more  FOCM 2011»
13 years 3 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma