Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs   We introduce an adaptive output-sensitive Metropolis-Hastings algorithm for
probabilistic models expressed as programs, Adaptive Lightweight
Metropolis-Hastings (AdLMH). The algorithm extends Lightweight
Metropolis-Hastings (LMH) by adjusting the probabilities of proposing random
variables for modification to improve convergence of the program output. We
show that AdLMH converges to the correct equilibrium distribution and compare
convergence of AdLMH to that of LMH on several test problems to highlight
different aspects of the adaptation scheme. We observe consistent improvement
in convergence on the test problems.

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The categories of this paper are: nucl-ex
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The categories of this paper are: cmp-lg
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The categories of this paper are: eess
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The categories of this paper are: alg-geom
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The categories of this paper are: funct-an
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The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
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The categories of this paper are: solv-int
3
The categories of this paper are: physics