On the Complexity of Efficiency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences
By B. D. Keijzer, S. Bouveret, T. Klos, Yingqian Zhang. 2009
96 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
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In Economics and Econometrics
In Management Science and Operations Research
Citations in the corpus
- On formalizing fairness in prediction with machine learning (2017, background): “However, deciding whether there is a Pareto-efficient envy-free allocation is computationally very hard even with simple additive preferences (10).”