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Unique games on expanding constraint graphs are easy: extended abstract
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Annual ACM Symposium on Theory of Computing archive
Proceedings of the 40th annual ACM symposium on Theory of computing table of contents
Victoria, British Columbia, Canada
SESSION: 1A table of contents
Pages 21-28  
Year of Publication: 2008
ISBN:978-1-60558-047-0
Authors
Sanjeev Arora  Princeton University, Princeton, NJ, USA
Subhash A. Khot  Courant Institue of Mathematical Sciences, New York University, New York, NY, USA
Alexandra Kolla  University of California, Berkeley, Berkeley, CA, USA
David Steurer  Princeton University, Princeton, NJ, USA
Madhur Tulsiani  University of California, Berkeley, Berkeley, CA, USA
Nisheeth K. Vishnoi  IBM India Research Lab, Delhi, India
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present an efficient algorithm to find a good solution to the Unique Games problem when the constraint graph is an expander.

We introduce a new analysis of the standard SDP in this case that involves correlations among distant vertices. It also leads to a parallel repetition theorem for unique games when the graph is an expander.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Subhash Khot and Oded Regev. Vertex cover might be hard to approximate to within 2--eps. In Proceedings of the Annual IEEE Conference on Computational Complexity, number 18, pages 379--386, 2003.
 
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Laszlo Lovasz and Alexander Schrijver. Cones of matrices and set-functions and 0--1 optimization. SIAM Journal on Optimization, 1(2):166--190, 1991.
 
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Shmuel Safra and Oded Schwartz. On Parallel--Repetition, Unique-Game and Max-Cut. Manuscript, 2007.
 
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Collaborative Colleagues:
Sanjeev Arora: colleagues
Subhash A. Khot: colleagues
Alexandra Kolla: colleagues
David Steurer: colleagues
Madhur Tulsiani: colleagues
Nisheeth K. Vishnoi: colleagues