activity
20092023
most citedUnderstanding Incentives: Mechanism Design becomes Algorithm Design

18 citations · 109 across the 28 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.GT2020★ 3 cited

Exponential Communication Separations between Notions of Selfishness

Aviad Rubinstein, Raghuvansh R. Saxena, Clayton Thomas +2

We consider the problem of implementing a fixed social choice function between multiple players (which takes as input a type from each player and outputs an outcome $f(t_…

cs.GT2020

Optimal Multi-Dimensional Mechanisms are not Locally-Implementable

S. Matthew Weinberg, Zixin Zhou

We introduce locality: a new property of multi-bidder auctions that formally separates the simplicity of optimal single-dimensional multi-bidder auctions from the complexity of opt…

cs.GT2020

On the (in)-approximability of Bayesian Revenue Maximization for a Combinatorial Buyer

Natalie Collina, S. Matthew Weinberg

We consider a revenue-maximizing single seller with items for sale to a single buyer whose value for the items is drawn from a known distribution of support .…

cs.GT2020★ 15 cited

Credible, Truthful, and Two-Round (Optimal) Auctions via Cryptographic Commitments

Matheus V. X. Ferreira, S. Matthew Weinberg

We consider the sale of a single item to multiple buyers by a revenue-maximizing seller. Recent work of Akbarpour and Li formalizes \emph{credibility} as an auction desideratum, an…

cs.GT2020★ 6 cited

A Permutation-Equivariant Neural Network Architecture For Auction Design

Jad Rahme, Samy Jelassi, Joan Bruna +1

Designing an incentive compatible auction that maximizes expected revenue is a central problem in Auction Design. Theoretical approaches to the problem have hit some limits in the…

cs.GT2020

When to Limit Market Entry under Mandatory Purchase

Meryem Essaidi, Kira Goldner, S. Matthew Weinberg

We study a problem inspired by regulated health insurance markets, such as those created by the government in the Affordable Care Act Exchanges or by employers when they contract w…