Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An $O(n\log(n))$ Algorithm for Projecting Onto the Ordered Weighted
  $\ell_1$ Norm Ball   The ordered weighted $\ell_1$ (OWL) norm is a newly developed generalization
of the Octogonal Shrinkage and Clustering Algorithm for Regression (OSCAR)
norm. This norm has desirable statistical properties and can be used to perform
simultaneous clustering and regression. In this paper, we show how to compute
the projection of an $n$-dimensional vector onto the OWL norm ball in
$O(n\log(n))$ operations. In addition, we illustrate the performance of our
algorithm on a synthetic regression test.

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The categories of this paper are: q-fin
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The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
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The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio