How to Play Unique Games Using Embeddings

  • Authors:
  • Eden Chlamtac;Konstantin Makarychev;Yury Makarychev

  • Affiliations:
  • Princeton University, USA;Princeton University, USA;Princeton University, USA

  • Venue:
  • FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
  • Year:
  • 2006

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Abstract

In this paper we present a new approximation algorithm for Unique Games. For a Unique Game with n vertices and k states (labels), if a (1 - \varepsilon) fraction of all constraints is satisfiable, the algorithm finds an assignment satisfying a 1 - O\left( {\varepsilon \sqrt {\log n\log k} } \right) fraction of all constraints. To this end, we introduce new embedding techniques for rounding semidefinite relaxations of problems with large domain size.