The literature on algorithmic mechanism design is mostly concerned with game-theoretic versions of optimization problems to which standard economic money-based mechanisms cannot b...
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
The performance of existing adders varies widely in their speed and area requirements, which in turn sometimes makes designers pay a high cost in area especially when the delay req...
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
Yevgeniy Vorobeychik, Christopher Kiekintveld, Mic...
The design and implementation of a modern microprocessor creates many reliability challenges. Designers must verify the correctness of large complex systems and construct implemen...
Saugata Chatterjee, Christopher T. Weaver, Todd M....