Uniform Sampling Through the Lovasz Local Lemma

被引:32
作者
Guo, Heng [1 ]
Jerrum, Mark [2 ]
Liu, Jingcheng [3 ]
机构
[1] Univ Edinburgh, Sch Informat, Edinburgh EH8 9AB, Midlothian, Scotland
[2] Queen Mary Univ London, Sch Math Sci, London E1 4NS, England
[3] Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA
基金
英国工程与自然科学研究理事会;
关键词
Exact sampling; Lovasz Local Lemma; #SAT; ALGORITHMIC APPROACH;
D O I
10.1145/3310131
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We propose a new algorithmic framework, called partial rejection sampling, to draw samples exactly from a product distribution, conditioned on none of a number of bad events occurring. Our framework builds new connections between the variable framework of the Lovasz Local Lemma and some classical sampling algorithms such as the cycle-popping algorithm for rooted spanning trees. Among other applications, we discover new algorithms to sample satisfying assignments of k-CNF formulas with bounded variable occurrences.
引用
收藏
页数:31
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