Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs

9 Sep 2015Andreas StuhlmüllerRobert X. D. HawkinsN. SiddharthNoah D. Goodman

Many practical techniques for probabilistic inference require a sequence of distributions that interpolate between a tractable distribution and an intractable distribution of interest. Usually, the sequences used are simple, e.g., based on geometric averages between distributions... (read more)

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