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Michalis K. Titsias

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#machine learning Preprint Jun 2024

Variance Reduction for Independent Metropolis

Assume that we would like to estimate the expected value of a function $F$ with respect to an intractable density $\pi$, which is specified up to some unknown normalising constant. We prove that if $\pi$ is close enough under KL divergence to another density $q$, an independent Metropolis sampler estimator that obtains...

Siran Liu, P. Dellaportas, Michalis K. Titsias · 1 citation

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