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20172022
most citedSmoothed and Average-case Approximation Ratios of Mechanisms: Beyond the Worst-case Analysis

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

collaborators

6 papers

cs.GT2022

On Scheduling Mechanisms Beyond the Worst Case

Yansong Gao, Jie Zhang

The problem of scheduling unrelated machines has been studied since the inception of algorithmic mechanism design \cite{NR99}. It is a resource allocation problem that entails assi…

cs.GT2020

Bounded Incentives in Manipulating the Probabilistic Serial Rule

Zihe Wang, Zhide Wei, Jie Zhang

The Probabilistic Serial mechanism is well-known for its desirable fairness and efficiency properties. It is one of the most prominent protocols for the random assignment problem.…

cs.GT2019

Social Cost Guarantees in Smart Route Guidance

Paolo Serafino, Carmine Ventre, Long Tran-Thanh +3

We model and study the problem of assigning traffic in an urban road network infrastructure. In our model, each driver submits their intended destination and is assigned a route to…

cs.GT20191 cited

Average-case Analysis of the Assignment Problem with Independent Preferences

Yansong Gao, Jie Zhang

The fundamental assignment problem is in search of welfare maximization mechanisms to allocate items to agents when the private preferences over indivisible items are provided by s…

cs.GT2017

Average-case Approximation Ratio of Scheduling without Payments

Jie Zhang

Apart from the principles and methodologies inherited from Economics and Game Theory, the studies in Algorithmic Mechanism Design typically employ the worst-case analysis and appro…

cs.GT20175 cited

Smoothed and Average-case Approximation Ratios of Mechanisms: Beyond the Worst-case Analysis

Xiaotie Deng, Yansong Gao, Jie Zhang

The approximation ratio has become one of the dominant measures in mechanism design problems. In light of analysis of algorithms, we define the \emph{smoothed approximation ratio}…