Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Algorithms of Robust Stochastic Optimization Based on Mirror Descent
  Method   We propose an approach to construction of robust non-Euclidean iterative
algorithms for convex composite stochastic optimization based on truncation of
stochastic gradients. For such algorithms, we establish sub-Gaussian confidence
bounds under weak assumptions about the tails of the noise distribution in
convex and strongly convex settings. Robust estimates of the accuracy of
general stochastic algorithms are also proposed.

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The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
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The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
3
The categories of this paper are: physics