Learning Conference Reviewer Assignments
نویسنده
چکیده
We study the Conference Reviewer Assignment Problem, reducing it to an instance of a Minimum Cost Network Flow in an appropriate network. Building upon this formulation ([SC09]), we address the issue of estimating the parameters in the model efficiently and reliably. Two techniques are proposed, their assumptions and limitations are explored and benchmarked using a real-world dataset. Closed-form solutions are developed for some alternate formulations of the assignment problem. Finally, we describe the system that we developed to perform max-margin estimation of parameters, and thereafter conference assignments.
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