Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Distributionally Robust Optimization Approach to the NASA Langley
  Uncertainty Quantification Challenge   We study a methodology to tackle the NASA Langley Uncertainty Quantification
Challenge problem, based on an integration of robust optimization, more
specifically a recent line of research known as distributionally robust
optimization, and importance sampling in Monte Carlo simulation. The main
computation machinery in this integrated methodology boils down to solving
sampled linear programs. We will illustrate both our numerical performances and
theoretical statistical guarantees obtained via connections to nonparametric
hypothesis testing.

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The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
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The categories of this paper are: eess
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ