We explore the revenue capabilities of truthful, monotone (“fair”) allocation and pricing functions for resource-constrained auction mechanisms within a general framework that encompasses unlimited supply auctions, knapsack auctions, and auctions with general non-decreasing convex production cost functions. We study and compare the revenue obtainable in each fair pricing scheme to the profit obtained by the ideal omniscient multi-price auction. We show that for capacitated knapsack auctions, no constant pricing scheme can achieve any approximation to the optimal profit, but proportional pricing is as powerful as general monotone pricing. In addition, for auction settings with arbitrary bounded non-decreasing convex production cost functions...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
We derive the revenue maximizing allocation of m units among n symmetric agents who have unit demand...
The intuition that profit is optimized by maximizing marginal revenue is a guiding principle in micr...
We explore the revenue capabilities of truthful, monotone (“fair”) allocation and pricing functions ...
We study a new monotonicity problem in combinatorial auctions called goods revenue monotonicity, whi...
We analyze the nonlinear pricing problem faced by an incomplete information monopolist operating in ...
We develop a general duality-theory framework for revenue maximization in additive Bayesian auctions...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
We demonstrate the existence of an optimal, individually rational, and incentive compatible selling ...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
In recent work [Rastegari et al. 2007a; 2007b] we study revenue properties of combinatorial auctions...
We use a weak-duality technique from the duality-theory framework for optimal auctions developed in ...
We derive exact optimal solutions for the problem of optimizing revenue in single-bidder multi-item ...
In combinatorial auctions that use VCG, a seller can sometimes increase revenue by dropping bidders ...
Auctions are widely used on the Web. Applications range from internet advertising to platforms such ...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
We derive the revenue maximizing allocation of m units among n symmetric agents who have unit demand...
The intuition that profit is optimized by maximizing marginal revenue is a guiding principle in micr...
We explore the revenue capabilities of truthful, monotone (“fair”) allocation and pricing functions ...
We study a new monotonicity problem in combinatorial auctions called goods revenue monotonicity, whi...
We analyze the nonlinear pricing problem faced by an incomplete information monopolist operating in ...
We develop a general duality-theory framework for revenue maximization in additive Bayesian auctions...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
We demonstrate the existence of an optimal, individually rational, and incentive compatible selling ...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
In recent work [Rastegari et al. 2007a; 2007b] we study revenue properties of combinatorial auctions...
We use a weak-duality technique from the duality-theory framework for optimal auctions developed in ...
We derive exact optimal solutions for the problem of optimizing revenue in single-bidder multi-item ...
In combinatorial auctions that use VCG, a seller can sometimes increase revenue by dropping bidders ...
Auctions are widely used on the Web. Applications range from internet advertising to platforms such ...
Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating...
We derive the revenue maximizing allocation of m units among n symmetric agents who have unit demand...
The intuition that profit is optimized by maximizing marginal revenue is a guiding principle in micr...