Menu-size Complexity and Revenue Continuity of Buy-many Mechanisms

We study the multi-item mechanism design problem where a monopolist sells n heterogeneous items to a single buyer. In recent work, Chawla et al. [2] advocated studying revenue maximization of multi-item mechanisms under the so-called "buy-many" constraint. Informally, a mechanism is buy-many if the buyer is allowed to participate in the mechanism any number of times. For example, a buyer interested in purchasing a subset of items may purchase the components of this subset individually. Viewing the mechanism as a function that assigns prices to allocations, the buy-many constraint is essentially equivalent to a subadditivity constraint over the prices. The buy-many constraint is a natural property that most real-world mechanisms satisfy. All of the simple classes of mechanisms studied in the literature such as item pricing, grand bundle pricing, two part tariffs, etc. also satisfy this property. As such, buy-many mechanisms are a worthy object of study. Chawla et al. asked whether buy-many mechanisms exhibit structural properties that arbitrary mechanisms do not. In this paper we study two such properties: menu-size complexity and revenue continuity. We discuss these two properties, their significance, and our results.

[1]  S. Matthew Weinberg,et al.  The Sample Complexity of Up-to-ε Multi-Dimensional Revenue Maximization , 2018, 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS).

[2]  S. Weinberg,et al.  Approximation Schemes for a Unit-Demand Buyer with Independent Items via Symmetries , 2019, 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS).

[3]  Christos Tzamos,et al.  Buy-Many Mechanisms are Not Much Better than Item Pricing , 2019, EC.

[4]  Yannai A. Gonczarowski Bounding the menu-size of approximately optimal auctions via optimal-transport duality , 2017, STOC.

[5]  Moshe Babaioff,et al.  The menu-size complexity of revenue approximation , 2016, STOC.

[6]  Noam Nisan,et al.  The menu-size complexity of auctions , 2013, EC '13.

[7]  S. Matthew Weinberg,et al.  Simple Mechanisms for a Subadditive Buyer and Applications to Revenue Monotonicity , 2018, ACM Trans. Economics and Comput..

[8]  Noam Nisan,et al.  Sampling and Representation Complexity of Revenue Maximization , 2014, WINE.

[9]  Christos Tzamos,et al.  Strong Duality for a Multiple-Good Monopolist , 2014, EC.

[10]  Noam Nisan,et al.  Selling multiple correlated goods: Revenue maximization and menu-size complexity , 2013, J. Econ. Theory.

[11]  S. Hart,et al.  Maximal revenue with multiple goods: Nonmonotonicity and other observations , 2015 .

[12]  Moshe Babaioff,et al.  Optimal Deterministic Mechanisms for an Additive Buyer , 2018, EC.

[13]  S. Matthew Weinberg,et al.  Pricing lotteries , 2015, J. Econ. Theory.

[14]  S. Matthew Weinberg,et al.  Symmetries and optimal multi-dimensional mechanism design , 2012, EC '12.

[15]  S. Matthew Weinberg,et al.  Smoothed Analysis of Multi-Item Auctions with Correlated Values , 2018, EC.

[16]  Yang Cai,et al.  Multi-Item Mechanisms without Item-Independence: Learnability via Robustness , 2019, EC.