• Computer Science, Mathematics
  • Published in NeurIPS 2019

Approximating the Permanent by Sampling from Adaptive Partitions

  title={Approximating the Permanent by Sampling from Adaptive Partitions},
  author={Jonathan Kuck and Tri Dao and Hamid Rezatofighi and Ashish Sabharwal and Stefano Ermon},
Computing the permanent of a non-negative matrix is a core problem with practical applications ranging from target tracking to statistical thermodynamics. However, this problem is also #P-complete, which leaves little hope for finding an exact solution that can be computed efficiently. While the problem admits a fully polynomial randomized approximation scheme, this method has seen little use because it is both inefficient in practice and difficult to implement. We present ADAPART, a simple and… CONTINUE READING

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