atlas

Research map / Multi-agent systems and games / Games and equilibria

Every Bit Helps: Achieving the Optimal Distortion with a Few Queries

AAAI 2025 · Multi-agent systems and games › Games and equilibria · approach: Learning with strategic agents · 2 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.

Shows that λ cardinal value queries per agent suffice for O(n^{1/λ}) distortion in one-sided matching (and O(λ·min{n,m}^{1/λ}) in single-winner voting), matching lower bounds up to constants.

Problem

Optimal distortion achievable in one-sided matching and single-winner elections when agents' ordinal rankings are supplemented by a small constant number of cardinal value queries per agent.

Approach

A deterministic λ-round algorithm using capacity-based serial dictatorship to build stable sets of matchings (or approximately stable committees) whose sizes shrink geometrically (n^{1-(ℓ-1)/λ}), with each round's queries informing the next round's weights; the final matching maximizes welfare under the guaranteed lower-bound utilities.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use λ cardinal queries per agent, for constant λOne-sided matching · One-sided matchingdistortion: O(n1/λ); prior lower bound Ω(n1/λ)Helped
Increase the query budget to three queries per agentOne-sided matching · One-sided matchingdistortion: O(n1/3)Helped
Use log n queries per agentOne-sided matching · One-sided matchingdistortion: O(log n)Helped
Use λ cardinal queries per agentSingle-winner voting · Single-winner electionsdistortion: O(λ·(min{n, m})1/λ)Helped
Use a stable lottery under unit-range utilitiesSingle-winner voting · Single-winner electionsdistortion: O(min{√n, √m})Helped

Surprising findings

Limitations

Experimental setup

Metrics: distortion

Baselines: Amanatidis et al. 2024 Amanatidis et al. 2022 Amanatidis et al. 2021 Caragiannis and Fehrs 2023

Builds on: Amanatidis et al. 2024 two-query sqrt(n) mechanism Amanatidis et al. 2022 lambda-query mechanism Jiang, Munagala, and Wang 2020 approximately stable committees

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