Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gradient and gradient-free methods for stochastic convex optimization
  with inexact oracle   In the paper we generalize universal gradient method (Yu. Nesterov) to
strongly convex case and to Intermediate gradient method
(Devolder-Glineur-Nesterov). We also consider possible generalizations to
stochastic and online context. We show how these results can be generalized to
gradient-free method and method of random direction search. But the main
ingridient of this paper is assumption about the oracle. We considered the
oracle to be inexact.

11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph