Lower Bounds on Revenue of Approximately Optimal Auctions

نویسندگان

  • Balasubramanian Sivan
  • Vasilis Syrgkanis
  • Omer Tamuz
چکیده

We obtain revenue guarantees for the simple pricing mechanism of a single posted price, in terms of a natural parameter of the distribution of buyers’ valuations. Our revenue guarantee applies to the single item n buyers setting, with values drawn from an arbitrary joint distribution. Specifically, we show that a single price drawn from the distribution of the maximum valuation Vmax = max{V1, V2, . . . , Vn} achieves a revenue of at least a 1 e fraction of the geometric expecation of Vmax. This generic bound is a measure of how revenue improves/degrades as a function of the concentration/spread of Vmax. We further show that in absence of buyers’ valuation distributions, recruiting an additional set of identical bidders will yield a similar guarantee on revenue. Finally, our bound also gives a measure of the extent to which one can simultaneously approximate welfare and revenue in terms of the concentration/spread of Vmax.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Query Complexity of Bayesian Auctions

Generating good revenue is one of the most important problems in Bayesian auction design, and many (approximately) optimal dominant-strategy incentive compatible (DSIC) Bayesian mechanisms have been constructed for various auction settings. However, most existing studies do not consider the complexity for the seller to carry out the mechanism. It is assumed that the seller knows “each single bi...

متن کامل

A On Random Sampling Auctions for Digital Goods

In the context of auctions for digital goods, an interesting random sampling auction has been proposed by Goldberg et al. [2001]. This auction has been analyzed by Feige et al. [2005], who have shown that it obtains in expectation at least 1/15 fraction of the optimal revenue – which is substantially better than the previously proven constant bounds but still far from the conjectured lower boun...

متن کامل

Optimal Auctions Revisited

The Internet offers new challenges to the fields of economics and artificial intelligence. This paper addresses several basic problems inspired by the adaptation of economic mechanisms, and auctions in particular, to the Internet. Computational environments uch as the Internet offer a high degree of flexibility in auctions’ rules. This makes the study of optimal auctions especially interesting ...

متن کامل

Bounds on the Menu-Size of Approximately Optimal Auctions via Optimal-Transport Duality

The question of the minimum menu-size for approximate (i.e., up-to-ε) Bayesian revenue maximization when selling two goods to an additive risk-neutral quasilinear buyer was introduced by Hart and Nisan (2013), who give an upper bound of O(1/ε4) for this problem. Using the optimal-transport duality framework of Daskalakis et al. (2013, 2015), we derive the first lower bound for this problem — of...

متن کامل

Sampling and Representation Complexity of Revenue Maximization

We consider (approximate) revenue maximization in auctions where the distribution on input valuations is given via “black box” access to samples from the distribution. We observe that the number of samples required – the sample complexity – is tightly related to the representation complexity of an approximately revenue-maximizing auction. Our main results are upper bounds and an exponential low...

متن کامل

One-to-Many Matching Auctions in Platforms

Many platforms conduct matching in settings where a one-to-many match is possible, but where a one-to-one match could produce higher revenue because participants value exclusive matches higher than shared matches. This paper studies the problem of designing a set of rules (an auction) for allocation (i.e., matching) and pricing of goods or services (e.g., a sales lead) in such settings. We requ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012