Comparing Approximate Relaxations of Envy-Freeness
Not on the map. Why?
Abstract (arXiv)
In fair division problems with indivisible goods it is well known that one cannot have any guarantees for the classic fairness notions of envy-freeness and proportionality. As a result, several relaxations have been introduced, most of which in quite recent works. We focus on four such notions, namely envy-freeness up to one good (EF1), envy-freeness up to any good (EFX), maximin share fairness (MMS), and pairwise maximin share fairness (PMMS). Since obtaining these relaxations also turns out to be problematic in several scenarios, approximate versions of them have been considered. In this work, we investigate further the connections between the four notions mentioned above and their approximate versions. We establish several tight, or almost tight, results concerning the approximation quality that any of these notions guarantees for the others, providing an almost complete picture of this landscape. Some of our findings reveal interesting and surprising consequences regarding the power of these notions, e.g., PMMS and EFX provide the same worst-case guarantee for MMS, despite PMMS being a strictly stronger notion than EFX. We believe such implications provide further insight on the quality of approximately fair solutions.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 1; 2025: 3; 2026: 1.
7 papers.
- 2021Towards Fair Recommendation in Two-Sided Platformscited by 8
- 2025Online Fair Division with Additional Informationcited by 6
- 2021Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairnesscited by 3
- 2025Online Fair Division for Personalized 2-Value Instancescited by 3
- 2024Fair Allocation in Dynamic Mechanism Designcited by 1
- 2025Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Divisioncited by 0
- 2026The AR Fairness Metamodel: A Structured Framework for Fairness Measurescited by 0
- 2026The AR Fairness Metamodel: A Structured Framework for Fairness Measures16 Sep 2026
- 2025Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division20 Jul 2025
- 2025Online Fair Division with Additional Information30 May 2025
- 2025Online Fair Division for Personalized 2-Value Instances28 May 2025
- 2024Fair Allocation in Dynamic Mechanism Design31 May 2024
- 2021Towards Fair Recommendation in Two-Sided Platforms26 Dec 2021
- 2021Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness17 Sep 2021