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A-Star Sampling Review

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If you have a question about this talk, please contact Zoubin Ghahramani.

In this talk we review the A-Star Sampling algorithm. We consider in more depth its connection to adative rejection algorithms that use the same information, and conjecture why A-Star Sampling appears to make more efficient use of this information. We also discuss how we might chain A-Star Sampling runs to exploit structure when sampling from graphical models.

This talk is part of the Machine Learning @ CUED series.

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