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Hiring Under Uncertainty
Manish Purohit · Sreenivas Gollapudi · Manish Raghavan

Wed Jun 12 03:15 PM -- 03:20 PM (PDT) @ Room 102
In this paper we introduce the hiring under uncertainty problem to model the questions faced by hiring committees in large enterprises and universities alike. Given a set of $n$ eligible candidates, the decision maker needs to choose the sequence of candidates to make offers so as to hire the $k$ best candidates. However, candidates may choose to reject an offer (for instance, due to a competing offer) and the decision maker has a time limit by which all positions must be filled. Given an estimate of the probabilities of acceptance for each candidate, the hiring under uncertainty problem is to design a strategy of making offers so that total expected value of all candidates hired by the time limit is maximized.

Author Information

Manish Purohit (Google Research)
Sreenivas Gollapudi (Google Research)
Manish Raghavan (Cornell)

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