activity
20122023
most citedPrice of Anarchy for Auction Revenue

13 citations · 24 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GT2023★ 1 cited

Robust Analysis of Auction Equilibria

Jason Hartline, Darrell Hoy, Samuel Taggart

Equilibria in auctions can be very difficult to analyze, beyond the symmetric environments where revenue equivalence renders the analysis straightforward. This paper takes a robust…

cs.GT2018

An Improved Welfare Guarantee for First Price Auctions

Darrell Hoy, Sam Taggart, Zihe Wang

This paper proves that the welfare of the first price auction in Bayes-Nash equilibrium is at least a -fraction of the welfare of the optimal mechanism assuming agents' value…

cs.GT2016★ 1 cited

On-demand or Spot? Selling the cloud to risk-averse customers

Darrell Hoy, Nicole Immorlica, Brendan Lucier

In Amazon EC2, cloud resources are sold through a combination of an on-demand market, in which customers buy resources at a fixed price, and a spot market, in which customers bid f…

cs.GT2015

Efficiency Guarantees from Data

Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis

Analysis of efficiency of outcomes in game theoretic settings has been a main item of study at the intersection of economics and computer science. The notion of the price of anarch…

cs.GT2014★ 13 cited

Price of Anarchy for Auction Revenue

Jason Hartline, Darrell Hoy, Sam Taggart

This paper develops tools for welfare and revenue analyses of Bayes-Nash equilibria in asymmetric auctions with single-dimensional agents. We employ these tools to derive price of…

cs.GT2013

A Dynamic Axiomatic Approach to First-Price Auctions

Darrell Hoy, Kamal Jain, Christopher A. Wilkens

The first-price auction is popular in practice for its simplicity and transparency. Moreover, its potential virtues grow in complex settings where incentive compatible auctions may…