Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Learning of Trimmed Estimators via Manifold Sampling   We adapt a manifold sampling algorithm for the nonsmooth, nonconvex
formulations of learning that arise when imposing robustness to outliers
present in the training data. We demonstrate the approach on objectives based
on trimmed loss. Empirical results show that the method has favorable scaling
properties. Although savings in time come at the expense of not certifying
optimality, the algorithm consistently returns high-quality solutions on the
trimmed linear regression and multiclass classification problems tested.

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The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
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The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
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The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
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The categories of this paper are: adap-org
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The categories of this paper are: funct-an
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The categories of this paper are: astro-ph
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The categories of this paper are: q-fin
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys