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DOI: 10.4230/LIPIcs.APPROX-RANDOM.2015.124
URN: urn:nbn:de:0030-drops-52991
URL: http://drops.dagstuhl.de/opus/volltexte/2015/5299/
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Baveja, Alok ; Chavan, Amit ; Nikiforov, Andrei ; Srinivasan, Aravind ; Xu, Pan

Improved Bounds in Stochastic Matching and Optimization

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Abstract

We consider two fundamental problems in stochastic optimization: approximation algorithms for stochastic matching, and sampling bounds in the black-box model. For the former, we improve the current-best bound of 3.709 due to Adamczyk et al. (2015), to 3.224; we also present improvements on Bansal et al. (2012) for hypergraph matching and for relaxed versions of the problem. In the context of stochastic optimization, we improve upon the sampling bounds of Charikar et al. (2005).

BibTeX - Entry

@InProceedings{baveja_et_al:LIPIcs:2015:5299,
  author =	{Alok Baveja and Amit Chavan and Andrei Nikiforov and Aravind Srinivasan and Pan Xu},
  title =	{{Improved Bounds in Stochastic Matching and Optimization}},
  booktitle =	{Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2015)},
  pages =	{124--134},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-89-7},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{40},
  editor =	{Naveen Garg and Klaus Jansen and Anup Rao and Jos{\'e} D. P. Rolim},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/5299},
  URN =		{urn:nbn:de:0030-drops-52991},
  doi =		{10.4230/LIPIcs.APPROX-RANDOM.2015.124},
  annote =	{Keywords: stochastic matching, approximation algorithms, sampling complexity}
}

Keywords: stochastic matching, approximation algorithms, sampling complexity
Seminar: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2015)
Issue Date: 2015
Date of publication: 28.07.2015


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