The permanent of a matrix has numerous applications but is notoriously hard to compute. While nonnegative matrices admit polynomial approximation schemes based on rapidly mixing Markov chains, the known practical estimators rely importance or rejection sampling. We advance sampling approach, which provides probabilistic accuracy guarantees, unlike Specifically, we give novel class nesting upper...
