Optimal no-regret learning for one-sided lipschitz functions
Inspired by applications in pricing and contract design, we study the maximization of one-
sided Lipschitz functions, which only provide the (weaker) guarantee that they do not grow …
sided Lipschitz functions, which only provide the (weaker) guarantee that they do not grow …
Combinatorial contracts beyond gross substitutes
We study the combinatorial contracting problem of Dütting et al.[13], in which a principal
seeks to incentivize an agent to take a set of costly actions. In their model, there is a binary …
seeks to incentivize an agent to take a set of costly actions. In their model, there is a binary …
Deep contract design via discontinuous networks
Contract design involves a principal who establishes contractual agreements about
payments for outcomes that arise from the actions of an agent. In this paper, we initiate the …
payments for outcomes that arise from the actions of an agent. In this paper, we initiate the …
Multi-agent combinatorial contracts
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 …
paralleling the role of combinatorial auctions in algorithmic mechanism design. In this paper …
Contracting with a learning agent
Many real-life contractual relations differ completely from the clean, static model at the heart
of principal-agent theory. Typically, they involve repeated strategic interactions of the …
of principal-agent theory. Typically, they involve repeated strategic interactions of the …
Bayesian analysis of linear contracts
We provide a justification for the prevalence of linear (commission-based) contracts in
practice under the Bayesian framework. We consider a hidden-action principal-agent model …
practice under the Bayesian framework. We consider a hidden-action principal-agent model …
On the (in) approximability of combinatorial contracts
We study two combinatorial contract design models--multi-agent and multi-action--where a
principal delegates the execution of a costly project to others. In both settings, the principal …
principal delegates the execution of a costly project to others. In both settings, the principal …
Multi-agent contract design: How to commission multiple agents with individual outcomes
We study hidden-action principal-agent problems with multiple agents. These are problems
in which a principal commits to an outcome-dependent payment scheme (called contract) in …
in which a principal commits to an outcome-dependent payment scheme (called contract) in …
A reduction from multi-parameter to single-parameter Bayesian contract design
The problem of contract design addresses the challenge of moral hazard in principle-agent
setups. The agent exerts costly efforts that produce a random outcome with an associated …
setups. The agent exerts costly efforts that produce a random outcome with an associated …
Are Bounded Contracts Learnable and Approximately Optimal?
This paper considers the hidden-action model of the principal-agent problem, in which a
principal incentivizes an agent to work on a project using a contract. We investigate whether …
principal incentivizes an agent to work on a project using a contract. We investigate whether …