Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Testing for arbitrary interference on experimentation platforms   Experimentation platforms are essential to modern large technology companies,
as they are used to carry out many randomized experiments daily. The classic
assumption of no interference among users, under which the outcome of one user
does not depend on the treatment assigned to other users, is rarely tenable on
such platforms. Here, we introduce an experimental design strategy for testing
whether this assumption holds. Our approach is in the spirit of the
Durbin-Wu-Hausman test for endogeneity in econometrics, where multiple
estimators return the same estimate if and only if the null hypothesis holds.
The design that we introduce makes no assumptions on the interference model
between units, nor on the network among the units, and has a sharp bound on the
variance and an implied analytical bound on the type I error rate. We discuss
how to apply the proposed design strategy to large experimentation platforms,
and we illustrate it in the context of an experiment on the LinkedIn platform.

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The categories of this paper are: hep-th
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The categories of this paper are: quant-ph
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The categories of this paper are: nlin
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The categories of this paper are: nucl-th
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The categories of this paper are: q-bio
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The categories of this paper are: math-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: funct-an
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The categories of this paper are: hep-ex
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The categories of this paper are: math
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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: econ
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The categories of this paper are: chem-ph
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The categories of this paper are: q-fin