Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Provable Gradient Variance Guarantees for Black-Box Variational
  Inference   Recent variational inference methods use stochastic gradient estimators whose
variance is not well understood. Theoretical guarantees for these estimators
are important to understand when these methods will or will not work. This
paper gives bounds for the common "reparameterization" estimators when the
target is smooth and the variational family is a location-scale distribution.
These bounds are unimprovable and thus provide the best possible guarantees
under the stated assumptions.

12
The categories of this paper are: nucl-th
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The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: eess
31
The categories of this paper are: ao-sci
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The categories of this paper are: q-alg
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The categories of this paper are: atom-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: acc-phys
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The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-th