Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving the Asymptotic Performance of Markov Chain Monte-Carlo by
  Inserting Vortices   We present a new way of converting a reversible finite Markov chain into a
non-reversible one, with a theoretical guarantee that the asymptotic variance
of the MCMC estimator based on the non-reversible chain is reduced. The method
is applicable to any reversible chain whose states are not connected through a
tree, and can be interpreted graphically as inserting vortices into the state
transition graph. Our result confirms that non-reversible chains are
fundamentally better than reversible ones in terms of asymptotic performance,
and suggests interesting directions for further improving MCMC.

28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
1
The categories of this paper are: cs