Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modular Probabilistic Models via Algebraic Effects   Probabilistic programming languages (PPLs) allow programmers to construct
statistical models and then simulate data or perform inference over them. Many
PPLs restrict models to a particular instance of simulation or inference,
limiting their reusability. In other PPLs, models are not readily composable.
Using Haskell as the host language, we present an embedded domain specific
language based on algebraic effects, where probabilistic models are modular,
first-class, and reusable for both simulation and inference. We also
demonstrate how simulation and inference can be expressed naturally as
composable program transformations using algebraic effect handlers.

7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph