111 search results - page 2 / 23 » Reducing mechanism design to algorithm design via machine le... |
ACMICEC
2006
ACM
13 years 11 months ago
2006
ACM
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
INFOVIS
2000
IEEE
13 years 9 months ago
2000
IEEE
COMIND is a tool for conceptual design of industrial products. It helps designers define and evaluate the initial design space by using search algorithms to generate sets of feasi...
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
VLSISP
2011
12 years 11 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
SODA
2012
ACM
11 years 7 months ago
2012
ACM
We consider the design of strategyproof cost-sharing mechanisms. We give two simple, but extremely versatile, black-box reductions, that in combination reduce the cost-sharing mec...