Adversarial Selection

Fuente: arXiv
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Autori principali: Cohen, Alma, Klement, Alon, Neeman, Zvika, Solan, Eilon
Natura: Preprint
Pubblicazione: 2026
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author Cohen, Alma
Klement, Alon
Neeman, Zvika
Solan, Eilon
author_facet Cohen, Alma
Klement, Alon
Neeman, Zvika
Solan, Eilon
contents In many institutional settings, $k$ items are selected with the goal of representing the underlying distribution of claims, opinions, or characteristics in a large population. We study environments with two adversarial parties whose preferences over the selected items are commonly known and opposed. We propose the Quantile Mechanism: one party partitions the population into $k$ disjoint subsets, and the other selects one item from each subset. We show that this procedure is optimally representative among all feasible mechanisms, and illustrate its use in jury selection, multi-district litigation, and committee formation.
format Preprint
id arxiv_https___arxiv_org_abs_2603_24727
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Adversarial Selection
Cohen, Alma
Klement, Alon
Neeman, Zvika
Solan, Eilon
Theoretical Economics
Computer Science and Game Theory
Optimization and Control
Other Statistics
In many institutional settings, $k$ items are selected with the goal of representing the underlying distribution of claims, opinions, or characteristics in a large population. We study environments with two adversarial parties whose preferences over the selected items are commonly known and opposed. We propose the Quantile Mechanism: one party partitions the population into $k$ disjoint subsets, and the other selects one item from each subset. We show that this procedure is optimally representative among all feasible mechanisms, and illustrate its use in jury selection, multi-district litigation, and committee formation.
title Adversarial Selection
topic Theoretical Economics
Computer Science and Game Theory
Optimization and Control
Other Statistics
url https://arxiv.org/abs/2603.24727