Oral
Hiring Under Uncertainty
Manish Purohit · Sreenivas Gollapudi · Manish Raghavan

Wed Jun 12th 03:15 -- 03:20 PM @ 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.