Submodular secretary problem and extensions

Author:

Bateni Mohammadhossein1,Hajiaghayi Mohammadtaghi2,Zadimoghaddam Morteza3

Affiliation:

1. Google Research, New York and Princeton University, New York, NY

2. University of Maryland, College Park, MD

3. MIT, Cambridge and EPEL, Switzerland

Abstract

Online auction is the essence of many modern markets, particularly networked markets, in which information about goods, agents, and outcomes is revealed over a period of time, and the agents must make irrevocable decisions without knowing future information. Optimal stopping theory, especially the classic secretary problem , is a powerful tool for analyzing such online scenarios which generally require optimizing an objective function over the input. The secretary problem and its generalization the multiple-choice secretary problem were under a thorough study in the literature. In this article, we consider a very general setting of the latter problem called the submodular secretary problem , in which the goal is to select k secretaries so as to maximize the expectation of a (not necessarily monotone) submodular function which defines efficiency of the selected secretarial group based on their overlapping skills. We present the first constant-competitive algorithm for this case. In a more general setting in which selected secretaries should form an independent (feasible) set in each of l given matroids as well, we obtain an O ( l log 2 r )-competitive algorithm generalizing several previous results, where r is the maximum rank of the matroids. Another generalization is to consider l knapsack constraints (i.e., a knapsack constraint assigns a nonnegative cost to each secretary, and requires that the total cost of all the secretaries employed be no more than a budget value) instead of the matroid constraints, for which we present an O ( l )-competitive algorithm. In a sharp contrast, we show for a more general setting of subadditive secretary problem , there is no õ (√ n )-competitive algorithm and thus submodular functions are the most general functions to consider for constant-competitiveness in our setting. We complement this result by giving a matching O (√ n )-competitive algorithm for the subadditive case. At the end, we consider some special cases of our general setting as well.

Funder

Division of Computing and Communication Foundations

University of Maryland Research and Scholarship Award

National Science Foundation

Office of Naval Research

Air Force Office of Scientific Research

Defense Advanced Research Projects Agency

Publisher

Association for Computing Machinery (ACM)

Subject

Mathematics (miscellaneous)

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