Scale-robust Auctions
By: Jason Hartline, Aleck Johnsen, Yingkai Li
Potential Business Impact:
Sellers get more money for items.
We study auctions that are robust at any scale, i.e., they can be applied to sell both expensive and cheap items and achieve the best multiplicative approximations of the optimal revenue in the worst case. We show that the optimal mechanism is scale invariant, which randomizes between selling at the second-price and a 2.45 multiple of the second-price.
Similar Papers
Robust Resource Allocation via Competitive Subsidies
CS and Game Theory
Lets more people get items in online auctions.
Robust Resource Allocation via Competitive Subsidies
CS and Game Theory
Makes online auctions fairer for everyone.
Side-by-side first-price auctions with imperfect bidders
CS and Game Theory
Helps online ads work better for buyers.