activity
20232026
most citedAmbiguous Contracts

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

collaborators

7 papers

cs.GT2026

Online Multi-Agent Contracts

Paul Dütting, Michal Feldman, Yoav Gal-Tzur +1

We introduce and study an online variant of the multi-agent contract model. In our model, agents arrive one-by-one and are active with a certain probability. Upon arrival of agent…

cs.DS2026

Graphic Matroid Secretary without the Graph

Paul Dütting, Renato Paes Leme, Martin Pál +1

The matroid secretary problem (MSP) is one of the cleanest, and most captivating open problems in online algorithms. The famous MSP conjecture stipulates that there exists a consta…

cs.DS2024

Online Matroid Embeddings

Andrés Cristi, Paul Dütting, Robert Kleinberg +2

We introduce the notion of an online matroid embedding, which is an algorithm for mapping an unknown matroid that is revealed in an online fashion to a larger-but-known matroid. We…

cs.GT2024★ 1 cited

Multi-Agent Combinatorial Contracts

Paul Duetting, Tomer Ezra, Michal Feldman +1

Combinatorial contracts are emerging as a key paradigm in algorithmic contract design, paralleling the role of combinatorial auctions in algorithmic mechanism design. In this paper…

cs.GT2023

Mechanism Design for Large Language Models

Paul Duetting, Vahab Mirrokni, Renato Paes Leme +2

We investigate auction mechanisms for AI-generated content, focusing on applications like ad creative generation. In our model, agents' preferences over stochastically generated co…

cs.GT2023

Combinatorial Contracts Beyond Gross Substitutes

Paul Dütting, Michal Feldman, Yoav Gal Tzur

We study the combinatorial contracting problem of Dütting et al. [FOCS '21], in which a principal seeks to incentivize an agent to take a set of costly actions. In their model, the…

cs.GT2023★ 1 cited

Ambiguous Contracts

Paul Dütting, Michal Feldman, Daniel Peretz +1

We explore the deliberate infusion of ambiguity into the design of contracts. We show that when the agent is ambiguity-averse and hence chooses an action that maximizes their minim…