Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BOSS: Bayesian Optimization over String Spaces   This article develops a Bayesian optimization (BO) method which acts directly
over raw strings, proposing the first uses of string kernels and genetic
algorithms within BO loops. Recent applications of BO over strings have been
hindered by the need to map inputs into a smooth and unconstrained latent
space. Learning this projection is computationally and data-intensive. Our
approach instead builds a powerful Gaussian process surrogate model based on
string kernels, naturally supporting variable length inputs, and performs
efficient acquisition function maximization for spaces with syntactical
constraints. Experiments demonstrate considerably improved optimization over
existing approaches across a broad range of constraints, including the popular
setting where syntax is governed by a context-free grammar.

34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ