atlas

Research map / Learning theory and algorithms / Fairness

Fair Lotteries for Participatory Budgeting

AAAI 2024 · Learning theory and algorithms › Fairness · approach: Fair allocation and selection · 4 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Initiates lotteries over discrete participatory budgeting outcomes, introducing a BB1 implementation via dependent rounding and studying best-of-both-worlds ex-ante/ex-post fairness (IFS, UFS, GFS vs JR, EJR, FJR).

Problem

Participatory budgeting with heterogeneous project costs: fractional outcomes cannot always be implemented by integral lotteries with equal spend, and existing deterministic PB rules give no ex-ante representation guarantees to individual voters.

Approach

Defines BB1 (budget balanced up to one project) and shows any feasible fractional PB outcome can be implemented by a lottery whose outcomes all satisfy BB1 via a cost-weighted dependent rounding; then defines ex-ante fair share hierarchies (IFS, UFS, Strong UFS, GFS) and gives best-of-both-worlds algorithms (GCR-based exponential-time, MES-based polynomial-time) plus impossibilities.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use cost-preserving dependent rounding to implement a feasible fractional outcomePB lottery implementation · PB with heterogeneous costsex-post budget balanceHelped
Combine GCR with fractional budget allocation and dependent roundingPB with binary utilities · PB with binary utilitiesfairness guaranteesHelped
Use MES with remaining-budget allocation and dependent roundingPB with binary utilities · PB with binary utilitiesfairness guaranteesHelped
Average voters' optimal fractional outcomesFractional Random Dictator · PBex-ante GFSHelped
Use MES with remaining-budget allocation and dependent roundingBW-MES-PB · PB with cost utilitiesfairness guaranteesHelped
Require ex-post JR together with ex-ante GFSPB with binary utilities · PB with binary utilitiescompatibilityHurt
Require ex-post JR together with ex-ante IFSGeneral PB with unit costs and cardinal utilities · Unit-cost PBcompatibilityHurt
Require ex-post BFx for every supported outcomeLottery implementation of fractional PB outcomes · PB with heterogeneous costsimplementabilityHurt

Surprising findings

Limitations

Experimental setup

Baselines: Greedy Cohesive Rule (GCR) Method of Equal Shares (MES) Random Dictator

Builds on: dependent randomized rounding Greedy Cohesive Rule Method of Equal Shares fair share axioms for approval-based committee voting

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy