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The Price of Justified Representation

AAAI 2022 · Learning theory and algorithms › Submodular and game algorithms · approach: Committee voting rules · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Impose JR while maximizing social welfareApproval-based multiwinner committees · Approval elections, committee size ksocial welfare price: √k/2Hurt
Impose JR while maximizing coverageApproval-based multiwinner committees · Approval elections, committee size kcoverage: coverage price = 1No clear effect
Impose EJR while maximizing coverageApproval-based multiwinner committees · Approval elections, committee size kcoverage: coverage price = 4/3Hurt
Use a JR committee selection policy balancing welfare and coverageApproval-based multiwinner committees · Approval elections, sufficiently large kcoverage: coverage price ≤ 4/3+ε; welfare price ≤ (1/β)(1+√k)Mixed
Use greedy rather than optimal coverage selection in the second stageJR committee selection · Approval elections, sufficiently large kcoverage: 1/(1-(1/e)^(1 - 2/√k - 1/k))Hurt
Use GreedyCC with any second-stage selection ruleJR committee selection · Constructed approval electionsocial welfare: Θ(k√k) to Θ(k)Hurt
Use the polynomial-time greedy coverage algorithmJR-constrained social-welfare maximization · Approval elections, n = ksocial welfare: at least sw_JR(I)/2Helped
Exploit 1D-VCR interval structureJR-constrained social-welfare maximization · 1D-VCR preferencessocial welfareHelped

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