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<titleInfo><title>Online Preselection with Context Information under the Plackett-Luce  Model</title></titleInfo>


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  <namePart type="given">Adil</namePart>
  <namePart type="family">El Mesaoudi-Paul</namePart>
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  <namePart type="given">Viktor</namePart>
  <namePart type="family">Bengs</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">76599</identifier></name>
<name type="personal">
  <namePart type="given">Eyke</namePart>
  <namePart type="family">Hüllermeier</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">48129</identifier></name>







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<abstract lang="eng">We consider an extension of the contextual multi-armed bandit problem, in
which, instead of selecting a single alternative (arm), a learner is supposed
to make a preselection in the form of a subset of alternatives. More
specifically, in each iteration, the learner is presented a set of arms and a
context, both described in terms of feature vectors. The task of the learner is
to preselect $k$ of these arms, among which a final choice is made in a second
step. In our setup, we assume that each arm has a latent (context-dependent)
utility, and that feedback on a preselection is produced according to a
Plackett-Luce model. We propose the CPPL algorithm, which is inspired by the
well-known UCB algorithm, and evaluate this algorithm on synthetic and real
data. In particular, we consider an online algorithm selection scenario, which
served as a main motivation of our problem setting. Here, an instance (which
defines the context) from a certain problem class (such as SAT) can be solved
by different algorithms (the arms), but only $k$ of these algorithms can
actually be run.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2020</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>arXiv:2002.04275</title></titleInfo>
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<ieee>A. El Mesaoudi-Paul, V. Bengs, and E. Hüllermeier, “Online Preselection with Context Information under the Plackett-Luce  Model,” &lt;i&gt;arXiv:2002.04275&lt;/i&gt;. .</ieee>
<apa>El Mesaoudi-Paul, A., Bengs, V., &amp;#38; Hüllermeier, E. (n.d.). Online Preselection with Context Information under the Plackett-Luce  Model. &lt;i&gt;ArXiv:2002.04275&lt;/i&gt;.</apa>
<mla>El Mesaoudi-Paul, Adil, et al. “Online Preselection with Context Information under the Plackett-Luce  Model.” &lt;i&gt;ArXiv:2002.04275&lt;/i&gt;.</mla>
<bibtex>@article{El Mesaoudi-Paul_Bengs_Hüllermeier, title={Online Preselection with Context Information under the Plackett-Luce  Model}, journal={arXiv:2002.04275}, author={El Mesaoudi-Paul, Adil and Bengs, Viktor and Hüllermeier, Eyke} }</bibtex>
<short>A. El Mesaoudi-Paul, V. Bengs, E. Hüllermeier, ArXiv:2002.04275 (n.d.).</short>
<ama>El Mesaoudi-Paul A, Bengs V, Hüllermeier E. Online Preselection with Context Information under the Plackett-Luce  Model. &lt;i&gt;arXiv:200204275&lt;/i&gt;.</ama>
<chicago>El Mesaoudi-Paul, Adil, Viktor Bengs, and Eyke Hüllermeier. “Online Preselection with Context Information under the Plackett-Luce  Model.” &lt;i&gt;ArXiv:2002.04275&lt;/i&gt;, n.d.</chicago>
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