Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation

Author:

Aziz Haris1ORCID,Freeman Rupert2ORCID,Shah Nisarg3,Vaish Rohit4ORCID

Affiliation:

1. School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales 2035, Australia;

2. Darden School of Business, University of Virginia, Charlottesville, Virginia 22903;

3. Department of Computer Science, University of Toronto, Toronto, Ontario M5T 3A1, Canada;

4. Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi 110 016, India

Abstract

Consider the problem of allocating indivisible goods among agents with additive valuations, where monetary payments are not allowed. When randomization is allowed, it is possible to achieve compelling notions of fairness such as EV, which states that no agent should prefer any other agent's allocation to their own. When allocations must be deterministic, achieving exact fairness is impossible but approximate notions such as EV up to one good can be guaranteed. In “Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation,” H. Aziz, R. Freeman, N. Shah, and R. Vaish ask whether it is possible to achieve both types of guarantees simultaneously. More specifically, they ask whether there exists a probability distribution over deterministic allocations such that every deterministic allocation is envy-free up to one good and the distribution is exactly envy-free in expectation. The main result of the paper answers this question in the affirmative, showing that ex ante and ex post fairness need not be in conflict.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

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