The design of auctions has attracted a lot of attention from computer scientists as a framework to study various resource-allocation problems in the presence of self-interested agents. A classic problem in this area, known as optimal auction design, focuses on maximizing the revenue of a seller when he has distributional information about the preferences of buyers. Unfortunately, except for some special instances, a solution to this problem has remained elusive. In my research, I tackle this challenging problem using tools from discrete mathematics, microeconomics, and optimization theory.
|Effective start/end date||6/1/13 → 5/31/15|
- Simons Foundation (285006)
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