Optimal Simulated Annealing for Partition Function Estimation
This paper gives a simple analysis of a non-adaptive simulated annealing algorithm for estimating the partition function of Gibbs distributions and establishes lower bounds for both general and non-adaptive algorithms, showing that the algorithm is optimal over a broad range of parameters.