Auctions in which agents ’ payoffs are random variables have received increased attention in recent years. In particular, recent work in algorithmic mechanism design has produced mech-anisms employing internal randomization, partly in response to limitations on deterministic mechanisms imposed by computational complexity. For many of these mechanisms, which are often referred to as truthful-in-expectation, incentive compatibility is contingent on the as-sumption that agents are risk-neutral. These mechanisms have been criticized on the grounds that this assumption is too strong, because “real ” agents are typically risk averse, and more-over their precise attitude towards risk is typically unknown a-priori. In response, researchers in algor...
Abstract. The following game naturally appears in the situations that some service providers benefit...
We address the problem of mechanism design for two-stage repeated stochastic games -- a novel settin...
This note presents an experimental study of the random lottery incentive mechanism. In the baseline ...
We consider a general scheme to construct Bayesian incentive-compatible mechanisms using a suitable ...
Mechanism design seeks algorithms whose inputs are provided by selfish agents who would lie if advan...
The algorithmic requirements for dominant strategy incentive compatibility, or truthfulness, are wel...
Algorithmic Mechanism Design attempts to marry computation and incentives, mainly by leveraging mone...
We design two computationally-efficient incentive-compatible mechanisms for combinatorial auctions w...
We study the problem of designing truthful mechanisms for players that are (partially) altruistic. O...
Thesis (Ph.D.)--University of Washington, 2019The data used as input for many algorithms today comes...
We consider truthfulness concepts for auctions with payments based on first- and second-order stocha...
We consider truthfulness concepts for auctions with payments based on first- and second-order stocha...
We consider auctions with a risk averse seller in independent private values environments with risk ...
We are interested in incentivizing experimental subjects to report their beliefs truthfully, without...
We study mechanism design in non-Bayesian settings of incomplete information, when the designer has ...
Abstract. The following game naturally appears in the situations that some service providers benefit...
We address the problem of mechanism design for two-stage repeated stochastic games -- a novel settin...
This note presents an experimental study of the random lottery incentive mechanism. In the baseline ...
We consider a general scheme to construct Bayesian incentive-compatible mechanisms using a suitable ...
Mechanism design seeks algorithms whose inputs are provided by selfish agents who would lie if advan...
The algorithmic requirements for dominant strategy incentive compatibility, or truthfulness, are wel...
Algorithmic Mechanism Design attempts to marry computation and incentives, mainly by leveraging mone...
We design two computationally-efficient incentive-compatible mechanisms for combinatorial auctions w...
We study the problem of designing truthful mechanisms for players that are (partially) altruistic. O...
Thesis (Ph.D.)--University of Washington, 2019The data used as input for many algorithms today comes...
We consider truthfulness concepts for auctions with payments based on first- and second-order stocha...
We consider truthfulness concepts for auctions with payments based on first- and second-order stocha...
We consider auctions with a risk averse seller in independent private values environments with risk ...
We are interested in incentivizing experimental subjects to report their beliefs truthfully, without...
We study mechanism design in non-Bayesian settings of incomplete information, when the designer has ...
Abstract. The following game naturally appears in the situations that some service providers benefit...
We address the problem of mechanism design for two-stage repeated stochastic games -- a novel settin...
This note presents an experimental study of the random lottery incentive mechanism. In the baseline ...