activity
20112026
most citedFast Convergence of Regularized Learning in Games

106 citations · 636 across the 106 of their papers we have counts for

collaborators
Showing 2013Show all

7 papers · 1 filter

cs.GT2013★ 4 cited

Social Status and Badge Design

Nicole Immorlica, Greg Stoddard, Vasilis Syrgkanis

Many websites rely on user-generated content to provide value to consumers. These websites typically incentivize participation by awarding users badges based on their contributions…

cs.GT2013

Draft Auctions

Nikhil R. Devanur, Jamie Morgenstern, Vasilis Syrgkanis

We introduce draft auctions, which is a sequential auction format where at each iteration players bid for the right to buy items at a fixed price. We show that draft auctions offer…

cs.GT2013★ 1 cited

Limits of Efficiency in Sequential Auctions

Michal Feldman, Brendan Lucier, Vasilis Syrgkanis

We study the efficiency of sequential first-price item auctions at (subgame perfect) equilibrium. This auction format has recently attracted much attention, with previous work esta…

cs.GT2013★ 1 cited

Incentives and Efficiency in Uncertain Collaborative Environments

Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic

We consider collaborative systems where users make contributions across multiple available projects and are rewarded for their contributions in individual projects according to a l…

cs.GT2013★ 1 cited

Strong Price of Anarchy and Coalitional Dynamics

Yoram Bachrach, Vasilis Syrgkanis, Eva Tardos +1

We introduce a framework for studying the effect of cooperation on the quality of outcomes in utility games. Our framework is a coalitional analog of the smoothness framework of no…

cs.GT2013★ 2 cited

Vickrey Auctions for Irregular Distributions

Balasubramanian Sivan, Vasilis Syrgkanis

The classic result of Bulow and Klemperer \cite{BK96} says that in a single-item auction recruiting one more bidder and running the Vickrey auction achieves a higher revenue than t…

cs.GT2013

Cost-Recovering Bayesian Algorithmic Mechanism Design

Hu Fu, Brendan Lucier, Balasubramanian Sivan +1

We study the design of Bayesian incentive compatible mechanisms in single parameter domains, for the objective of optimizing social efficiency as measured by social cost. In the pr…