Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The $f$-Divergence Expectation Iteration Scheme   This paper introduces the $f$-EI$(\phi)$ algorithm, a novel iterative
algorithm which operates on measures and performs $f$-divergence minimisation
in a Bayesian framework. We prove that for a rich family of values of
$(f,\phi)$ this algorithm leads at each step to a systematic decrease in the
$f$-divergence and show that we achieve an optimum. In the particular case
where we consider a weighted sum of Dirac measures and the $\alpha$-divergence,
we obtain that the calculations involved in the $f$-EI$(\phi)$ algorithm
simplify to gradient-based computations. Empirical results support the claim
that the $f$-EI$(\phi)$ algorithm serves as a powerful tool to assist
Variational methods.

3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin