activity
20152026
most citedOptimal Auctions through Deep Learning: Advances in Differentiable Economics

2 citations · 4 across the 6 of their papers we have counts for

collaborators

9 papers

cs.DS2026

Optimal Online Stochastic Matching

Paul Duetting, Michal Feldman, Mathieu Molina

We resolve the problem of unweighted online stochastic matching with a known arrival law by establishing its optimal competitive ratio. For Poisson arrivals, we achieve $1-e/e^e\ap…

cs.GT2026

An Introduction to Contract Theory for Computer Scientists

Paul Duetting, Michal Feldman, Inbal Talgam-Cohen

This survey introduces contract design to computer scientists: using outcome-based payments to incentivize effort. We discuss applications that motivate a computational approach to…

econ.TH2024

Data-Driven Mechanism Design: Jointly Eliciting Preferences and Information

Dirk Bergemann, Marek Bojko, Paul Dütting +3

We study mechanism design in environments where agents have private preferences and private information about a common payoff-relevant state. In such settings with multi-dimensiona…

cs.GT2024

The Competition Complexity of Prophet Inequalities

Johannes Brustle, José Correa, Paul Dütting +3

We study the classic single-choice prophet inequality problem through a resource augmentation lens. Our goal is to bound the -competition complexity of different t…

cs.GT2023★ 1 cited

Prophet Secretary Against the Online Optimal

Paul Dütting, Evangelia Gergatsouli, Rojin Rezvan +2

We study the prophet secretary problem, a well-studied variant of the classic prophet inequality, where values are drawn from independent known distributions but arrive in uniforml…

cs.GT2022★ 1 cited

Multi-Agent Contracts

Paul Duetting, Tomer Ezra, Michal Feldman +1

We study a natural combinatorial single-principal multi-agent contract design problem, in which a principal motivates a team of agents to exert effort toward a given task. At the h…

cs.GT2017★ 2 cited

Optimal Auctions through Deep Learning: Advances in Differentiable Economics

Paul Dütting, Zhe Feng, Harikrishna Narasimhan +2

Designing an incentive compatible auction that maximizes expected revenue is an intricate task. The single-item case was resolved in a seminal piece of work by Myerson in 1981, but…

cs.GT2016

Best-Response Dynamics in Combinatorial Auctions with Item Bidding

Paul Dütting, Thomas Kesselheim

In a combinatorial auction with item bidding, agents participate in multiple single-item second-price auctions at once. As some items might be substitutes, agents need to strategiz…

cs.GT2015

Algorithms as Mechanisms: The Price of Anarchy of Relax-and-Round

Paul Dütting, Thomas Kesselheim, Éva Tardos

Many algorithms that are originally designed without explicitly considering incentive properties are later combined with simple pricing rules and used as mechanisms. The resulting…