Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Least Squares Auto-Tuning   Least squares is by far the simplest and most commonly applied computational
method in many fields. In almost all applications, the least squares objective
is rarely the true objective. We account for this discrepancy by parametrizing
the least squares problem and automatically adjusting these parameters using an
optimization algorithm. We apply our method, which we call least squares
auto-tuning, to data fitting.

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The categories of this paper are: eess
3
The categories of this paper are: physics
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The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
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The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
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The categories of this paper are: nlin
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The categories of this paper are: math-ph
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The categories of this paper are: econ
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The categories of this paper are: astro-ph
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The categories of this paper are: dg-ga