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Constrained Fair and Efficient Allocations

AAAI 2025 · Learning theory and algorithms › Submodular and game algorithms · approach: Fair division of indivisible goods · 1 citations (OpenAlex)

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Shows maximum Nash welfare allocations are 1/2-EF1 and PO under matroid, base-orderable complete, partition-with-lower-bounds and goods-with-copies constraints, and gives best-of-both-worlds results for goods with copies and balancedness.

Problem

Existence of fair and efficient (EF1 and Pareto optimal) allocations of indivisible goods with additive valuations under feasibility constraints such as matroids, cardinality/partition constraints, goods with copies, and balancedness.

Approach

Reduce constrained additive instances to unconstrained submodular instances via weighted matroid rank functions to inherit MEF1 of MNW; for non-matroidal constraints, a novel "alternate worlds" lemma combines MNW guarantees across a union of feasible sets, and partition matroids with lower bounds are decomposed into unions of partition matroids for complete allocations.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use MNW under arbitrary matroid feasibility constraintsAdditive-valuation allocation · Arbitrary matroid constraintsEF1 guarantee: \sfrac{1}{2}-EF1Helped
Use complete MNW under base-orderable matroid constraintsAdditive-valuation allocation · Base-orderable matroid constraintsEF1 guarantee: \sfrac{1}{2}-EF1Helped
Use MNW under partition matroid constraints with lower boundsAdditive-valuation allocation · Partition matroid constraints with lower boundsEF1 guarantee: \sfrac{1}{2}-EF1Helped
Use MNW under goods-with-copies constraintsAdditive-valuation allocation · Goods with copiesEF1 without commons guarantee: \sfrac{1}{2}-EF1\textsubscript{WC}Helped
Apply the CE lottery decomposition to a CEEI allocationRandomized allocation for goods with copies · Goods with copies; strictly positive valuationsEx post guarantees: EF$^1_1$, Prop1, and POHelped
Add balancedness to the goods-with-copies CE lottery settingRandomized allocation for goods with copies · Goods with copies with balancedness; strictly positive valuationsEx post guarantees: Prop1 and PO; EF$^1_1$ guarantee does not holdMixed
Require an EF1 guarantee stronger than the proven half-EF1 levelMNW · Partition matroid constraints and balancednessEF1 guarantee: no MNW (or complete MNW) allocation is $(\sfrac{1}{2} + \epsilon)$-EF1Hurt
Require unconstrained Pareto optimality in addition to approximate EF1Feasible allocation · Balancedness constraintEF1 with PO$^{+}$: impossible to guarantee $\alpha$-EF1 and PO\textsuperscript{+} for any $\alpha \in (0,1]$Hurt
Impose partition matroid feasibility while requiring SD-EF1Feasible allocation · Partition matroid constraintsSD-EF1 existence: SD-EF1 cannot be guaranteedHurt

Surprising findings

Limitations

Experimental setup

Metrics: EF1 approximation factor Pareto optimality

Baselines: round robin EF1 allocation under cardinality constraints

Builds on: maximum Nash welfare marginal envy-freeness up to one good bihierarchy theorem competitive equilibrium from equal incomes

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