{"id":148388,"date":"2006-01-01T00:00:00","date_gmt":"2006-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/approximating-unique-games\/"},"modified":"2018-10-16T21:12:52","modified_gmt":"2018-10-17T04:12:52","slug":"approximating-unique-games","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/approximating-unique-games\/","title":{"rendered":"Approximating Unique Games"},"content":{"rendered":"<p>The Unique Games problem is the following: we are given a graph G = (V,E), with each edge e = (u,v) having a weight we and a permutation \u03c0uv on [k]. The objective is to \ufb01nd a labeling of each vertex u with a label fu \u2208 [k] to minimize the weight of unsatis\ufb01ed edges\u2014where an edge (u,v) is satis\ufb01ed if fv = \u03c0uv(fu). The Unique Games Conjecture of Khot [8] essentially says that for each \u03b5 > 0, there is a k such that it is NP-hard to distinguish instances of Unique games with (1\u2212\u03b5) satis\ufb01able edges from those with only \u03b5 satis\ufb01able edges. Several hardness results have recently been proved based on this assumption, including optimal ones for Max-Cut, Vertex-Cover and other problems, making it an important challenge to prove or refute the conjecture. In this paper, we give an O(logn)-approximation algorithm for the problem of minimizing the number of unsatis\ufb01ed edges in any Unique game. Previous results of Khot [8] and Trevisan [12] imply that if the optimal solution has OPT = \u03b5m unsatis\ufb01ed edges, semide\ufb01nite relaxations of the problem could give labelings with min{k2\u03b51\/5,(\u03b5logn)1\/2}m unsatis\ufb01ed edges. In this paper we show how to round a LP relaxation to get an O(logn)-approximation to the problem; i.e., to \ufb01nd a labeling with only O(\u03b5mlogn) = O(OPTlogn) unsatis\ufb01ed edges.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Unique Games problem is the following: we are given a graph G = (V,E), with each edge e = (u,v) having a weight we and a permutation \u03c0uv on [k]. The objective is to \ufb01nd a labeling of each vertex u with a label fu \u2208 [k] to minimize the weight of unsatis\ufb01ed edges\u2014where [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Society for Industrial and Applied Mathematics","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"ACM-SIAM Symposium on Discrete Algorithms (SODA)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"ACM-SIAM Symposium on Discrete Algorithms 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