mlsanityData to 13 Oct 2026

A Little Charity Guarantees Almost Envy-Freeness

arXiv 1907.04596 ↗First posted 10 Jul 2019cs.GTcited by 12

Not on the map. Why?

Abstract (arXiv)

Fair division of indivisible goods is a very well-studied problem. The goal of this problem is to distribute m goods to n agents in a "fair" manner, where every agent has a valuation for each subset of goods. We assume general valuations. Envy-freeness is the most extensively studied notion of fairness. However, envy-free allocations do not always exist when goods are indivisible. The notion of fairness we consider here is "envy-freeness up to any good" (EFX) where no agent envies another agent after the removal of any single good from the other agent's bundle. It is not known if such an allocation always exists even when n=3. We show there is always a partition of the set of goods into n+1 subsets (X1,ldots,Xn,P) where for i ∈ [n], Xi is the bundle allocated to agent i and the set P is unallocated (or donated to charity) such that we havecolon 1) envy-freeness up to any good, 2) no agent values P higher than her own bundle, and 3) fewer than n goods go to charity, i.e., |P| < n (typically m gg n). Our proof is constructive. When agents have additive valuations and lvert P rvert is large (i.e., when |P| is close to n), our allocation also has a good maximin share (MMS) guarantee. Moreover, a minor variant of our algorithm also shows the existence of an allocation which is 4/7 groupwise maximin share (GMMS): this is a notion of fairness stronger than MMS. This improves upon the current best bound of 1/2 known for an approximate GMMS allocation.

Key facts. Cited by 12 papers in the map (data through 13 Oct 2026). First posted on arXiv 10 Jul 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 2; 2025: 3; 2026: 4.

12 papers.