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Abstract:
that explicitly searches for high density regions in the
target distribution. I prove that the technique yields unbiased
estimates, and show empirically it can reduce the variance of
standard Monte Carlo estimators. This is achieved by concentrating
samples in more important regions of the sample space.
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