Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Easy to Interpret Diagnostic for Approximate Inference: Symmetric
  Divergence Over Simulations   It is important to estimate the errors of probabilistic inference algorithms.
Existing diagnostics for Markov chain Monte Carlo methods assume inference is
asymptotically exact, and are not appropriate for approximate methods like
variational inference or Laplace's method. This paper introduces a diagnostic
based on repeatedly simulating datasets from the prior and performing inference
on each. The central observation is that it is possible to estimate a symmetric
KL-divergence defined over these simulations.

25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph